# best-of-ml-python **Repository Path**: ma-yongfan/best-of-ml-python ## Basic Information - **Project Name**: best-of-ml-python - **Description**: No description available - **Primary Language**: Unknown - **License**: CC-BY-SA-4.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-11-29 - **Last Updated**: 2021-11-29 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

Best-of Machine Learning with Python

🏆  A ranked list of awesome machine learning Python libraries. Updated weekly.

This curated list contains 840 awesome open-source projects with a total of 2.8M stars grouped into 32 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! ---

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--- ## Contents - [Machine Learning Frameworks](#machine-learning-frameworks) _54 projects_ - [Data Visualization](#data-visualization) _49 projects_ - [Text Data & NLP](#text-data--nlp) _82 projects_ - [Image Data](#image-data) _49 projects_ - [Graph Data](#graph-data) _29 projects_ - [Audio Data](#audio-data) _23 projects_ - [Geospatial Data](#geospatial-data) _22 projects_ - [Financial Data](#financial-data) _23 projects_ - [Time Series Data](#time-series-data) _20 projects_ - [Medical Data](#medical-data) _19 projects_ - [Optical Character Recognition](#optical-character-recognition) _11 projects_ - [Data Containers & Structures](#data-containers--structures) _28 projects_ - [Data Loading & Extraction](#data-loading--extraction) _23 projects_ - [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_ - [Data Pipelines & Streaming](#data-pipelines--streaming) _36 projects_ - [Distributed Machine Learning](#distributed-machine-learning) _26 projects_ - [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _45 projects_ - [Reinforcement Learning](#reinforcement-learning) _19 projects_ - [Recommender Systems](#recommender-systems) _14 projects_ - [Privacy Machine Learning](#privacy-machine-learning) _6 projects_ - [Workflow & Experiment Tracking](#workflow--experiment-tracking) _35 projects_ - [Model Serialization & Conversion](#model-serialization--conversion) _11 projects_ - [Model Interpretability](#model-interpretability) _46 projects_ - [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _12 projects_ - [Probabilistics & Statistics](#probabilistics--statistics) _21 projects_ - [Adversarial Robustness](#adversarial-robustness) _8 projects_ - [GPU Utilities](#gpu-utilities) _18 projects_ - [Tensorflow Utilities](#tensorflow-utilities) _13 projects_ - [Sklearn Utilities](#sklearn-utilities) _17 projects_ - [Pytorch Utilities](#pytorch-utilities) _27 projects_ - [Database Clients](#database-clients) _1 projects_ - [Others](#others) _52 projects_ ## Explanation - 🥇🥈🥉  Combined project-quality score - ⭐️  Star count from GitHub - 🐣  New project _(less than 6 months old)_ - 💤  Inactive project _(6 months no activity)_ - 💀  Dead project _(12 months no activity)_ - 📈📉  Project is trending up or down - ➕  Project was recently added - ❗️  Warning _(e.g. missing/risky license)_ - 👨‍💻  Contributors count from GitHub - 🔀  Fork count from GitHub - 📋  Issue count from GitHub - ⏱️  Last update timestamp on package manager - 📥  Download count from package manager - 📦  Number of dependent projects -   Tensorflow related project -   Sklearn related project -   PyTorch related project -   MxNet related project -   Apache Spark related project -   Jupyter related project -   PaddlePaddle related project -   Pandas related project
## Machine Learning Frameworks Back to top _General-purpose machine learning and deep learning frameworks._
Tensorflow (🥇44 · ⭐ 160K · 📈) - An Open Source Machine Learning Framework for Everyone. Apache-2 - [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 3.6K · 🔀 85K · 📦 130K · 📋 32K - 12% open · ⏱️ 29.04.2021): ``` git clone https://github.com/tensorflow/tensorflow ``` - [PyPi](https://pypi.org/project/tensorflow) (📥 9.7M / month · 📦 23K · ⏱️ 27.04.2021): ``` pip install tensorflow ``` - [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 2.5M · ⏱️ 12.04.2021): ``` conda install -c conda-forge tensorflow ``` - [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 51M · ⭐ 1.9K · ⏱️ 29.04.2021): ``` docker pull tensorflow/tensorflow ```
PyTorch (🥇41 · ⭐ 48K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 - [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 2.6K · 🔀 13K · 📦 73K · 📋 23K - 38% open · ⏱️ 29.04.2021): ``` git clone https://github.com/pytorch/pytorch ``` - [PyPi](https://pypi.org/project/torch) (📥 3.9M / month · 📦 6.7K · ⏱️ 25.03.2021): ``` pip install torch ``` - [Conda](https://anaconda.org/pytorch/pytorch) (📥 11M · ⏱️ 25.03.2021): ``` conda install -c pytorch pytorch ```
PySpark (🥇38 · ⭐ 30K) - Apache Spark Python API. Apache-2 - [GitHub](https://github.com/apache/spark) (👨‍💻 2.4K · 🔀 24K · 📦 580 · ⏱️ 29.04.2021): ``` git clone https://github.com/apache/spark ``` - [PyPi](https://pypi.org/project/pyspark) (📥 9.8M / month · 📦 760 · ⏱️ 19.02.2021): ``` pip install pyspark ``` - [Conda](https://anaconda.org/conda-forge/pyspark) (📥 1M · ⏱️ 04.03.2021): ``` conda install -c conda-forge pyspark ```
scikit-learn (🥇37 · ⭐ 46K) - scikit-learn: machine learning in Python. BSD-3 - [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 2.2K · 🔀 21K · 📥 690 · 📦 210K · 📋 9.2K - 25% open · ⏱️ 28.04.2021): ``` git clone https://github.com/scikit-learn/scikit-learn ``` - [PyPi](https://pypi.org/project/scikit-learn) (📥 22M / month · 📦 38K · ⏱️ 28.04.2021): ``` pip install scikit-learn ``` - [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 7.8M · ⏱️ 28.04.2021): ``` conda install -c conda-forge scikit-learn ```
XGBoost (🥇37 · ⭐ 21K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 - [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 510 · 🔀 8K · 📥 2.3K · 📦 16K · 📋 4K - 7% open · ⏱️ 28.04.2021): ``` git clone https://github.com/dmlc/xgboost ``` - [PyPi](https://pypi.org/project/xgboost) (📥 5.2M / month · 📦 1.6K · ⏱️ 12.04.2021): ``` pip install xgboost ``` - [Conda](https://anaconda.org/conda-forge/xgboost) (📥 1.6M · ⏱️ 09.03.2021): ``` conda install -c conda-forge xgboost ```
LightGBM (🥇36 · ⭐ 12K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT - [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 220 · 🔀 3.3K · 📥 110K · 📦 6.7K · 📋 2.2K - 5% open · ⏱️ 29.04.2021): ``` git clone https://github.com/microsoft/LightGBM ``` - [PyPi](https://pypi.org/project/lightgbm) (📥 3.7M / month · 📦 560 · ⏱️ 22.03.2021): ``` pip install lightgbm ``` - [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 570K · ⏱️ 20.04.2021): ``` conda install -c conda-forge lightgbm ```
MXNet (🥈34 · ⭐ 19K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 - [GitHub](https://github.com/apache/incubator-mxnet) (👨‍💻 960 · 🔀 6.8K · 📥 24K · 📦 2K · 📋 9.5K - 19% open · ⏱️ 29.04.2021): ``` git clone https://github.com/apache/incubator-mxnet ``` - [PyPi](https://pypi.org/project/mxnet) (📥 250K / month · 📦 440 · ⏱️ 31.03.2021): ``` pip install mxnet ``` - [Conda](https://anaconda.org/anaconda/mxnet) (📥 6.1K · ⏱️ 29.02.2020): ``` conda install -c anaconda mxnet ```
Theano (🥈34 · ⭐ 9.4K) - Theano is a Python library that allows you to define, optimize, and.. BSD-3 - [GitHub](https://github.com/Theano/Theano) (👨‍💻 380 · 🔀 2.5K · 📦 11K · 📋 2.8K - 24% open · ⏱️ 13.04.2021): ``` git clone https://github.com/Theano/Theano ``` - [PyPi](https://pypi.org/project/theano) (📥 290K / month · 📦 5.5K · ⏱️ 27.07.2020): ``` pip install theano ``` - [Conda](https://anaconda.org/conda-forge/theano) (📥 1.5M · ⏱️ 21.01.2021): ``` conda install -c conda-forge theano ```
PyFlink (🥈33 · ⭐ 16K · 📉) - Apache Flink Python API. Apache-2 - [GitHub](https://github.com/apache/flink) (👨‍💻 1.3K · 🔀 8.7K · 📦 280 · ⏱️ 29.04.2021): ``` git clone https://github.com/apache/flink ``` - [PyPi](https://pypi.org/project/apache-flink) (📥 8K / month · ⏱️ 29.04.2021): ``` pip install apache-flink ```
pytorch-lightning (🥈33 · ⭐ 13K) - The lightweight PyTorch wrapper for high-performance.. Apache-2 - [GitHub](https://github.com/PyTorchLightning/pytorch-lightning) (👨‍💻 440 · 🔀 1.6K · 📥 2.2K · 📦 2.7K · 📋 3.3K - 9% open · ⏱️ 29.04.2021): ``` git clone https://github.com/PyTorchLightning/pytorch-lightning ``` - [PyPi](https://pypi.org/project/pytorch-lightning) (📥 380K / month · 📦 14 · ⏱️ 22.04.2021): ``` pip install pytorch-lightning ``` - [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 120K · ⏱️ 27.04.2021): ``` conda install -c conda-forge pytorch-lightning ```
StatsModels (🥈33 · ⭐ 6.3K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 - [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 310 · 🔀 2.2K · 📥 25 · 📦 41K · 📋 4.4K - 47% open · ⏱️ 28.04.2021): ``` git clone https://github.com/statsmodels/statsmodels ``` - [PyPi](https://pypi.org/project/statsmodels) (📥 4.1M / month · 📦 6.7K · ⏱️ 02.02.2021): ``` pip install statsmodels ``` - [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 3.9M · ⏱️ 15.02.2021): ``` conda install -c conda-forge statsmodels ```
Fastai (🥈32 · ⭐ 21K) - The fastai deep learning library. Apache-2 - [GitHub](https://github.com/fastai/fastai) (👨‍💻 470 · 🔀 7K · 📋 1.4K - 6% open · ⏱️ 29.04.2021): ``` git clone https://github.com/fastai/fastai ``` - [PyPi](https://pypi.org/project/fastai) (📥 200K / month · 📦 370 · ⏱️ 22.02.2021): ``` pip install fastai ```
jax (🥈32 · ⭐ 12K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 - [GitHub](https://github.com/google/jax) (👨‍💻 280 · 🔀 1.1K · 📦 1.5K · 📋 2.4K - 33% open · ⏱️ 29.04.2021): ``` git clone https://github.com/google/jax ``` - [PyPi](https://pypi.org/project/jax) (📥 200K / month · 📦 46 · ⏱️ 01.04.2021): ``` pip install jax ``` - [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 110K · ⏱️ 08.04.2021): ``` conda install -c conda-forge jaxlib ```
Thinc (🥈32 · ⭐ 2.3K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT - [GitHub](https://github.com/explosion/thinc) (👨‍💻 36 · 🔀 210 · 📦 13K · 📋 110 - 15% open · ⏱️ 29.04.2021): ``` git clone https://github.com/explosion/thinc ``` - [PyPi](https://pypi.org/project/thinc) (📥 1.9M / month · 📦 1.1K · ⏱️ 09.03.2021): ``` pip install thinc ``` - [Conda](https://anaconda.org/conda-forge/thinc) (📥 1.2M · ⏱️ 23.04.2021): ``` conda install -c conda-forge thinc ```
PaddlePaddle (🥈31 · ⭐ 15K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 540 · 🔀 3.7K · 📥 15K · 📦 39 · 📋 13K - 19% open · ⏱️ 29.04.2021): ``` git clone https://github.com/PaddlePaddle/Paddle ``` - [PyPi](https://pypi.org/project/paddlepaddle) (📥 14K / month · 📦 16 · ⏱️ 05.03.2021): ``` pip install paddlepaddle ```
Catboost (🥈31 · ⭐ 5.8K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 - [GitHub](https://github.com/catboost/catboost) (👨‍💻 780 · 🔀 890 · 📥 54K · 📋 1.5K - 22% open · ⏱️ 29.04.2021): ``` git clone https://github.com/catboost/catboost ``` - [PyPi](https://pypi.org/project/catboost) (📥 2.7M / month · 📦 160 · ⏱️ 05.04.2021): ``` pip install catboost ``` - [Conda](https://anaconda.org/conda-forge/catboost) (📥 660K · ⏱️ 12.04.2021): ``` conda install -c conda-forge catboost ```
Chainer (🥈31 · ⭐ 5.6K) - A flexible framework of neural networks for deep learning. MIT - [GitHub](https://github.com/chainer/chainer) (👨‍💻 320 · 🔀 1.4K · 📦 2.1K · 📋 2K - 0% open · ⏱️ 17.02.2021): ``` git clone https://github.com/chainer/chainer ``` - [PyPi](https://pypi.org/project/chainer) (📥 26K / month · 📦 740 · ⏱️ 13.01.2021): ``` pip install chainer ```
TFlearn (🥈30 · ⭐ 9.5K) - Deep learning library featuring a higher-level API for TensorFlow. MIT - [GitHub](https://github.com/tflearn/tflearn) (👨‍💻 130 · 🔀 2.4K · 📦 3.2K · 📋 920 - 60% open · ⏱️ 30.11.2020): ``` git clone https://github.com/tflearn/tflearn ``` - [PyPi](https://pypi.org/project/tflearn) (📥 17K / month · 📦 960 · ⏱️ 11.11.2020): ``` pip install tflearn ```
Vowpal Wabbit (🥈30 · ⭐ 7.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 300 · 🔀 1.7K · 📦 120 · 📋 1K - 13% open · ⏱️ 28.04.2021): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` - [PyPi](https://pypi.org/project/vowpalwabbit) (📥 25K / month · 📦 16 · ⏱️ 13.04.2021): ``` pip install vowpalwabbit ```
Keras (🥈29 · ⭐ 51K) - Deep Learning for humans. MIT - [GitHub](https://github.com/keras-team/keras) (👨‍💻 910 · 🔀 19K · 📋 11K - 31% open · ⏱️ 28.04.2021): ``` git clone https://github.com/keras-team/keras ``` - [PyPi](https://pypi.org/project/keras) (📥 3.2M / month · ⏱️ 12.04.2021): ``` pip install keras ``` - [Conda](https://anaconda.org/conda-forge/keras) (📥 1.6M · ⏱️ 19.04.2021): ``` conda install -c conda-forge keras ```
Sonnet (🥈29 · ⭐ 8.8K) - TensorFlow-based neural network library. Apache-2 - [GitHub](https://github.com/deepmind/sonnet) (👨‍💻 51 · 🔀 1.3K · 📦 560 · 📋 160 - 12% open · ⏱️ 15.03.2021): ``` git clone https://github.com/deepmind/sonnet ``` - [PyPi](https://pypi.org/project/dm-sonnet) (📥 83K / month · 📦 82 · ⏱️ 27.03.2020): ``` pip install dm-sonnet ``` - [Conda](https://anaconda.org/conda-forge/sonnet) (📥 8.9K · ⏱️ 14.11.2020): ``` conda install -c conda-forge sonnet ```
tensorpack (🥉28 · ⭐ 6K) - A Neural Net Training Interface on TensorFlow, with focus on.. Apache-2 - [GitHub](https://github.com/tensorpack/tensorpack) (👨‍💻 55 · 🔀 1.8K · 📥 120 · 📦 740 · 📋 1.3K - 0% open · ⏱️ 19.04.2021): ``` git clone https://github.com/tensorpack/tensorpack ``` - [PyPi](https://pypi.org/project/tensorpack) (📥 16K / month · 📦 76 · ⏱️ 22.01.2021): ``` pip install tensorpack ```
Ignite (🥉28 · ⭐ 3.5K) - High-level library to help with training and evaluating neural.. BSD-3 - [GitHub](https://github.com/pytorch/ignite) (👨‍💻 140 · 🔀 450 · 📦 850 · 📋 800 - 12% open · ⏱️ 26.04.2021): ``` git clone https://github.com/pytorch/ignite ``` - [PyPi](https://pypi.org/project/pytorch-ignite) (📥 56K / month · 📦 62 · ⏱️ 28.04.2021): ``` pip install pytorch-ignite ``` - [Conda](https://anaconda.org/pytorch/ignite) (📥 59K · ⏱️ 03.03.2021): ``` conda install -c pytorch ignite ```
dyNET (🥉28 · ⭐ 3.2K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - [GitHub](https://github.com/clab/dynet) (👨‍💻 160 · 🔀 700 · 📥 2.7K · 📦 180 · 📋 920 - 28% open · ⏱️ 27.01.2021): ``` git clone https://github.com/clab/dynet ``` - [PyPi](https://pypi.org/project/dyNET) (📥 16K / month · 📦 38 · ⏱️ 21.10.2020): ``` pip install dyNET ```
Flax (🥉28 · ⭐ 1.7K) - Flax is a neural network library for JAX that is designed for.. Apache-2 jax - [GitHub](https://github.com/google/flax) (👨‍💻 88 · 🔀 190 · 📥 23 · 📦 140 · 📋 340 - 42% open · ⏱️ 29.04.2021): ``` git clone https://github.com/google/flax ``` - [PyPi](https://pypi.org/project/flax) (📥 110K / month · 📦 6 · ⏱️ 31.03.2021): ``` pip install flax ```
skorch (🥉27 · ⭐ 3.9K) - A scikit-learn compatible neural network library that wraps.. BSD-3 - [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 40 · 🔀 280 · 📦 300 · 📋 380 - 11% open · ⏱️ 29.04.2021): ``` git clone https://github.com/skorch-dev/skorch ``` - [PyPi](https://pypi.org/project/skorch) (📥 15K / month · 📦 26 · ⏱️ 23.03.2021): ``` pip install skorch ``` - [Conda](https://anaconda.org/conda-forge/skorch) (📥 250K · ⏱️ 24.03.2021): ``` conda install -c conda-forge skorch ```
Jina (🥉27 · ⭐ 3.2K) - An easier way to build neural search on the cloud. Apache-2 - [GitHub](https://github.com/jina-ai/jina) (👨‍💻 94 · 🔀 430 · 📦 59 · 📋 780 - 9% open · ⏱️ 29.04.2021): ``` git clone https://github.com/jina-ai/jina ``` - [PyPi](https://pypi.org/project/jina) (📥 14K / month · ⏱️ 29.04.2021): ``` pip install jina ``` - [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 260K · ⭐ 2 · ⏱️ 29.04.2021): ``` docker pull jinaai/jina ```
Ludwig (🥉26 · ⭐ 7.7K) - Ludwig is a toolbox that allows to train and evaluate deep.. Apache-2 - [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 91 · 🔀 890 · 📦 85 · 📋 540 - 21% open · ⏱️ 29.04.2021): ``` git clone https://github.com/ludwig-ai/ludwig ``` - [PyPi](https://pypi.org/project/ludwig) (📥 2.1K / month · 📦 12 · ⏱️ 01.02.2021): ``` pip install ludwig ```
Turi Create (🥉25 · ⭐ 10K · 📉) - Turi Create simplifies the development of custom machine.. BSD-3 - [GitHub](https://github.com/apple/turicreate) (👨‍💻 82 · 🔀 1.1K · 📥 4K · 📦 240 · 📋 1.7K - 27% open · ⏱️ 31.03.2021): ``` git clone https://github.com/apple/turicreate ``` - [PyPi](https://pypi.org/project/turicreate) (📥 29K / month · 📦 34 · ⏱️ 30.09.2020): ``` pip install turicreate ```
mlpack (🥉25 · ⭐ 3.6K) - mlpack: a scalable C++ machine learning library --. BSD-3 - [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 270 · 🔀 1.3K · 📋 1.4K - 11% open · ⏱️ 28.04.2021): ``` git clone https://github.com/mlpack/mlpack ``` - [PyPi](https://pypi.org/project/mlpack) (📥 490 / month · ⏱️ 28.10.2020): ``` pip install mlpack ``` - [Conda](https://anaconda.org/conda-forge/mlpack) (📥 73K · ⏱️ 29.10.2020): ``` conda install -c conda-forge mlpack ```
Neural Network Libraries (🥉25 · ⭐ 2.4K) - Neural Network Libraries. Apache-2 - [GitHub](https://github.com/sony/nnabla) (👨‍💻 58 · 🔀 300 · 📥 520 · 📋 60 - 50% open · ⏱️ 28.04.2021): ``` git clone https://github.com/sony/nnabla ``` - [PyPi](https://pypi.org/project/nnabla) (📥 4.8K / month · 📦 34 · ⏱️ 13.04.2021): ``` pip install nnabla ```
ktrain (🥉25 · ⭐ 800) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 - [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 12 · 🔀 190 · 📦 150 · 📋 340 - 2% open · ⏱️ 26.03.2021): ``` git clone https://github.com/amaiya/ktrain ``` - [PyPi](https://pypi.org/project/ktrain) (📥 20K / month · 📦 1 · ⏱️ 26.03.2021): ``` pip install ktrain ```
tensorflow-upstream (🥉25 · ⭐ 560) - TensorFlow ROCm port. Apache-2 - [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨‍💻 3.6K · 🔀 65 · 📥 16 · 📋 300 - 18% open · ⏱️ 26.04.2021): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` - [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 3.2K / month · ⏱️ 29.03.2021): ``` pip install tensorflow-rocm ```
einops (🥉24 · ⭐ 2.9K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT - [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 11 · 🔀 97 · 📦 460 · 📋 67 - 31% open · ⏱️ 03.04.2021): ``` git clone https://github.com/arogozhnikov/einops ``` - [PyPi](https://pypi.org/project/einops) (📥 86K / month · 📦 10 · ⏱️ 08.09.2020): ``` pip install einops ``` - [Conda](https://anaconda.org/conda-forge/einops) (📥 4.7K · ⏱️ 15.10.2020): ``` conda install -c conda-forge einops ```
SHOGUN (🥉23 · ⭐ 2.8K) - Unified and efficient Machine Learning. BSD-3 - [GitHub](https://github.com/shogun-toolbox/shogun) (👨‍💻 250 · 🔀 1K · 📋 1.5K - 30% open · ⏱️ 08.12.2020): ``` git clone https://github.com/shogun-toolbox/shogun ``` - [Conda](https://anaconda.org/conda-forge/shogun) (📥 98K · ⏱️ 25.06.2018): ``` conda install -c conda-forge shogun ``` - [Docker Hub](https://hub.docker.com/r/shogun/shogun) (📥 1.4K · ⭐ 1 · ⏱️ 31.01.2019): ``` docker pull shogun/shogun ```
fklearn (🥉23 · ⭐ 1.3K) - fklearn: Functional Machine Learning. Apache-2 - [GitHub](https://github.com/nubank/fklearn) (👨‍💻 37 · 🔀 150 · 📦 10 · 📋 39 - 48% open · ⏱️ 28.04.2021): ``` git clone https://github.com/nubank/fklearn ``` - [PyPi](https://pypi.org/project/fklearn) (📥 8K / month · ⏱️ 09.02.2021): ``` pip install fklearn ```
Neural Tangents (🥉22 · ⭐ 1.4K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - [GitHub](https://github.com/google/neural-tangents) (👨‍💻 18 · 🔀 150 · 📥 110 · 📦 14 · 📋 84 - 33% open · ⏱️ 21.04.2021): ``` git clone https://github.com/google/neural-tangents ``` - [PyPi](https://pypi.org/project/neural-tangents) (📥 690 / month · ⏱️ 25.01.2021): ``` pip install neural-tangents ```
mace (🥉21 · ⭐ 4.4K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - [GitHub](https://github.com/XiaoMi/mace) (👨‍💻 57 · 🔀 760 · 📥 1.3K · 📋 640 - 6% open · ⏱️ 22.04.2021): ``` git clone https://github.com/XiaoMi/mace ```
Torchbearer (🥉21 · ⭐ 600) - torchbearer: A model fitting library for PyTorch. MIT - [GitHub](https://github.com/pytorchbearer/torchbearer) (👨‍💻 13 · 🔀 64 · 📦 41 · 📋 240 - 3% open · ⏱️ 26.03.2021): ``` git clone https://github.com/pytorchbearer/torchbearer ``` - [PyPi](https://pypi.org/project/torchbearer) (📥 3.6K / month · 📦 6 · ⏱️ 31.01.2020): ``` pip install torchbearer ```
ThunderSVM (🥉20 · ⭐ 1.3K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨‍💻 33 · 🔀 170 · 📥 2.2K · 📋 190 - 23% open · ⏱️ 10.02.2021): ``` git clone https://github.com/Xtra-Computing/thundersvm ``` - [PyPi](https://pypi.org/project/thundersvm) (📥 600 / month · ⏱️ 13.03.2020): ``` pip install thundersvm ```
Haiku (🥉20 · ⭐ 1.1K) - JAX-based neural network library. Apache-2 - [GitHub](https://github.com/deepmind/dm-haiku) (👨‍💻 41 · 🔀 75 · 📦 82 · 📋 82 - 24% open · ⏱️ 26.04.2021): ``` git clone https://github.com/deepmind/dm-haiku ```
Objax (🥉20 · ⭐ 590) - Objax is a machine learning framework that provides an Object.. Apache-2 jax - [GitHub](https://github.com/google/objax) (👨‍💻 20 · 🔀 46 · 📦 12 · 📋 92 - 43% open · ⏱️ 21.04.2021): ``` git clone https://github.com/google/objax ``` - [PyPi](https://pypi.org/project/objax) (📥 460 / month · ⏱️ 01.04.2021): ``` pip install objax ```
ThunderGBM (🥉17 · ⭐ 590) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 10 · 🔀 75 · 📋 49 - 42% open · ⏱️ 05.01.2021): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` - [PyPi](https://pypi.org/project/thundergbm) (📥 160 / month · ⏱️ 01.05.2020): ``` pip install thundergbm ```
elegy (🥉17 · ⭐ 210) - Elegy is a framework-agnostic Trainer interface for the Jax.. Apache-2 jax - [GitHub](https://github.com/poets-ai/elegy) (👨‍💻 13 · 🔀 11 · 📋 57 - 36% open · ⏱️ 01.04.2021): ``` git clone https://github.com/poets-ai/elegy ``` - [PyPi](https://pypi.org/project/elegy) (📥 680 / month · ⏱️ 01.03.2021): ``` pip install elegy ```
NeoML (🥉14 · ⭐ 590) - Machine learning framework for both deep learning and traditional.. Apache-2 - [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 21 · 🔀 84 · 📋 49 - 73% open · ⏱️ 24.04.2021): ``` git clone https://github.com/neoml-lib/neoml ```
Show 9 hidden projects... - dlib (🥈32 · ⭐ 10K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - CNTK (🥉26 · ⭐ 17K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - NuPIC (🥉25 · ⭐ 6.2K · 💀) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - Lasagne (🥉24 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. MIT - xLearn (🥉24 · ⭐ 2.9K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - neon (🥉23 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - NeuPy (🥉22 · ⭐ 680 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - MindsDB (🥉20 · ⭐ 3.7K) - Predictive AI layer for existing databases. ❗️GPL-3.0 - StarSpace (🥉14 · ⭐ 3.6K · 💀) - Learning embeddings for classification, retrieval and ranking. MIT

## Data Visualization Back to top _General-purpose and task-specific data visualization libraries._
Matplotlib (🥇41 · ⭐ 14K) - matplotlib: plotting with Python. Python-2.0 - [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.2K · 🔀 5.7K · 📦 360K · 📋 7.9K - 21% open · ⏱️ 29.04.2021): ``` git clone https://github.com/matplotlib/matplotlib ``` - [PyPi](https://pypi.org/project/matplotlib) (📥 20M / month · 📦 79K · ⏱️ 26.03.2021): ``` pip install matplotlib ``` - [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 8.7M · ⏱️ 31.03.2021): ``` conda install -c conda-forge matplotlib ```
Seaborn (🥇37 · ⭐ 8.4K) - Statistical data visualization using matplotlib. BSD-3 - [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 150 · 🔀 1.4K · 📥 160 · 📦 92K · 📋 1.8K - 5% open · ⏱️ 23.04.2021): ``` git clone https://github.com/mwaskom/seaborn ``` - [PyPi](https://pypi.org/project/seaborn) (📥 4.9M / month · 📦 13K · ⏱️ 20.12.2020): ``` pip install seaborn ``` - [Conda](https://anaconda.org/conda-forge/seaborn) (📥 2.3M · ⏱️ 28.01.2021): ``` conda install -c conda-forge seaborn ```
Plotly (🥇36 · ⭐ 9.4K) - The interactive graphing library for Python (includes Plotly Express). MIT - [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 170 · 🔀 1.8K · 📦 5 · 📋 1.9K - 44% open · ⏱️ 29.04.2021): ``` git clone https://github.com/plotly/plotly.py ``` - [PyPi](https://pypi.org/project/plotly) (📥 5.3M / month · 📦 5K · ⏱️ 12.01.2021): ``` pip install plotly ``` - [Conda](https://anaconda.org/conda-forge/plotly) (📥 1.3M · ⏱️ 12.01.2021): ``` conda install -c conda-forge plotly ``` - [NPM](https://www.npmjs.com/package/plotlywidget) (📥 110K / month · 📦 4 · ⏱️ 12.01.2021): ``` npm install plotlywidget ```
dash (🥇35 · ⭐ 14K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT - [GitHub](https://github.com/plotly/dash) (👨‍💻 74 · 🔀 1.5K · 📦 20K · 📋 990 - 42% open · ⏱️ 08.04.2021): ``` git clone https://github.com/plotly/dash ``` - [PyPi](https://pypi.org/project/dash) (📥 450K / month · 📦 1.6K · ⏱️ 19.01.2021): ``` pip install dash ``` - [Conda](https://anaconda.org/conda-forge/dash) (📥 240K · ⏱️ 10.04.2021): ``` conda install -c conda-forge dash ```
Bokeh (🥇33 · ⭐ 15K) - Interactive Data Visualization in the browser, from Python. BSD-3 - [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 560 · 🔀 3.7K · 📦 33K · 📋 6.5K - 10% open · ⏱️ 29.04.2021): ``` git clone https://github.com/bokeh/bokeh ``` - [PyPi](https://pypi.org/project/bokeh) (📥 1.4M / month · 📦 5.9K · ⏱️ 06.04.2021): ``` pip install bokeh ``` - [Conda](https://anaconda.org/conda-forge/bokeh) (📥 4.3M · ⏱️ 08.04.2021): ``` conda install -c conda-forge bokeh ```
wordcloud (🥈31 · ⭐ 8K) - A little word cloud generator in Python. MIT - [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 61 · 🔀 2K · 📦 11K · 📋 450 - 21% open · ⏱️ 01.03.2021): ``` git clone https://github.com/amueller/word_cloud ``` - [PyPi](https://pypi.org/project/wordcloud) (📥 410K / month · 📦 1.1K · ⏱️ 11.11.2020): ``` pip install wordcloud ``` - [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 210K · ⏱️ 14.01.2021): ``` conda install -c conda-forge wordcloud ```
Altair (🥈31 · ⭐ 6.6K) - Declarative statistical visualization library for Python. BSD-3 - [GitHub](https://github.com/altair-viz/altair) (👨‍💻 130 · 🔀 580 · 📦 10K · 📋 1.6K - 18% open · ⏱️ 04.04.2021): ``` git clone https://github.com/altair-viz/altair ``` - [PyPi](https://pypi.org/project/altair) (📥 1.2M / month · 📦 370 · ⏱️ 01.04.2020): ``` pip install altair ``` - [Conda](https://anaconda.org/conda-forge/altair) (📥 700K · ⏱️ 01.04.2020): ``` conda install -c conda-forge altair ```
UMAP (🥈31 · ⭐ 4.7K) - Uniform Manifold Approximation and Projection. BSD-3 - [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 79 · 🔀 510 · 📦 2.8K · 📋 490 - 49% open · ⏱️ 27.04.2021): ``` git clone https://github.com/lmcinnes/umap ``` - [PyPi](https://pypi.org/project/umap-learn) (📥 460K / month · 📦 230 · ⏱️ 08.02.2021): ``` pip install umap-learn ```
pyecharts (🥈30 · ⭐ 11K) - Python Echarts Plotting Library. MIT - [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 30 · 🔀 2.4K · 📦 1.6K · 📋 1.4K - 2% open · ⏱️ 19.01.2021): ``` git clone https://github.com/pyecharts/pyecharts ``` - [PyPi](https://pypi.org/project/pyecharts) (📥 46K / month · 📦 280 · ⏱️ 29.10.2020): ``` pip install pyecharts ```
pandas-profiling (🥈30 · ⭐ 7.2K) - Create HTML profiling reports from pandas DataFrame.. MIT - [GitHub](https://github.com/pandas-profiling/pandas-profiling) (👨‍💻 75 · 🔀 1.1K · 📦 3.8K · 📋 460 - 16% open · ⏱️ 19.04.2021): ``` git clone https://github.com/pandas-profiling/pandas-profiling ``` - [PyPi](https://pypi.org/project/pandas-profiling) (📥 370K / month · 📦 160 · ⏱️ 07.02.2021): ``` pip install pandas-profiling ``` - [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 120K · ⏱️ 20.02.2021): ``` conda install -c conda-forge pandas-profiling ```
PyQtGraph (🥈30 · ⭐ 2.4K) - Fast data visualization and GUI tools for scientific / engineering.. MIT - [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 190 · 🔀 820 · 📋 820 - 34% open · ⏱️ 29.04.2021): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` - [PyPi](https://pypi.org/project/pyqtgraph) (📥 59K / month · 📦 890 · ⏱️ 07.04.2021): ``` pip install pyqtgraph ``` - [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 170K · ⏱️ 07.04.2021): ``` conda install -c conda-forge pyqtgraph ```
HoloViews (🥈29 · ⭐ 1.9K) - With Holoviews, your data visualizes itself. BSD-3 - [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 100 · 🔀 310 · 📋 2.6K - 27% open · ⏱️ 21.04.2021): ``` git clone https://github.com/holoviz/holoviews ``` - [PyPi](https://pypi.org/project/holoviews) (📥 92K / month · 📦 170 · ⏱️ 08.04.2021): ``` pip install holoviews ``` - [Conda](https://anaconda.org/conda-forge/holoviews) (📥 480K · ⏱️ 08.04.2021): ``` conda install -c conda-forge holoviews ``` - [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 6K / month · ⏱️ 24.05.2020): ``` npm install @pyviz/jupyterlab_pyviz ```
Graphviz (🥈29 · ⭐ 980) - Simple Python interface for Graphviz. MIT - [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 15 · 🔀 140 · 📦 20K · 📋 110 - 8% open · ⏱️ 14.03.2021): ``` git clone https://github.com/xflr6/graphviz ``` - [PyPi](https://pypi.org/project/graphviz) (📥 6M / month · 📦 4.4K · ⏱️ 24.12.2020): ``` pip install graphviz ```
bqplot (🥈28 · ⭐ 3.1K · 📉) - Plotting library for IPython/Jupyter notebooks. Apache-2 - [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 51 · 🔀 400 · 📦 24 · 📋 530 - 36% open · ⏱️ 27.04.2021): ``` git clone https://github.com/bqplot/bqplot ``` - [PyPi](https://pypi.org/project/bqplot) (📥 36K / month · 📦 110 · ⏱️ 08.04.2021): ``` pip install bqplot ``` - [Conda](https://anaconda.org/conda-forge/bqplot) (📥 590K · ⏱️ 21.04.2021): ``` conda install -c conda-forge bqplot ``` - [NPM](https://www.npmjs.com/package/bqplot) (📥 16K / month · 📦 10 · ⏱️ 21.04.2021): ``` npm install bqplot ```
datashader (🥈28 · ⭐ 2.5K) - Quickly and accurately render even the largest data. BSD-3 - [GitHub](https://github.com/holoviz/datashader) (👨‍💻 43 · 🔀 320 · 📦 670 · 📋 470 - 26% open · ⏱️ 13.04.2021): ``` git clone https://github.com/holoviz/datashader ``` - [PyPi](https://pypi.org/project/datashader) (📥 37K / month · 📦 70 · ⏱️ 16.03.2021): ``` pip install datashader ``` - [Conda](https://anaconda.org/conda-forge/datashader) (📥 170K · ⏱️ 13.04.2021): ``` conda install -c conda-forge datashader ```
Cufflinks (🥈28 · ⭐ 2.2K) - Productivity Tools for Plotly + Pandas. MIT - [GitHub](https://github.com/santosjorge/cufflinks) (👨‍💻 38 · 🔀 540 · 📦 3.2K · 📋 200 - 40% open · ⏱️ 25.02.2021): ``` git clone https://github.com/santosjorge/cufflinks ``` - [PyPi](https://pypi.org/project/cufflinks) (📥 100K / month · 📦 230 · ⏱️ 01.03.2020): ``` pip install cufflinks ```
Perspective (🥈27 · ⭐ 3.3K) - Streaming pivot visualization via WebAssembly. Apache-2 - [GitHub](https://github.com/finos/perspective) (👨‍💻 62 · 🔀 360 · 📦 180 · 📋 410 - 17% open · ⏱️ 27.04.2021): ``` git clone https://github.com/finos/perspective ``` - [PyPi](https://pypi.org/project/perspective-python) (📥 1.9K / month · 📦 8 · ⏱️ 28.04.2021): ``` pip install perspective-python ``` - [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 2K / month · ⏱️ 27.04.2021): ``` npm install @finos/perspective-jupyterlab ```
missingno (🥈27 · ⭐ 2.8K) - Missing data visualization module for Python. MIT - [GitHub](https://github.com/ResidentMario/missingno) (👨‍💻 16 · 🔀 350 · 📦 3.5K · 📋 110 - 17% open · ⏱️ 27.04.2021): ``` git clone https://github.com/ResidentMario/missingno ``` - [PyPi](https://pypi.org/project/missingno) (📥 320K / month · 📦 150 · ⏱️ 09.07.2019): ``` pip install missingno ``` - [Conda](https://anaconda.org/conda-forge/missingno) (📥 88K · ⏱️ 15.02.2020): ``` conda install -c conda-forge missingno ```
PyVista (🥈27 · ⭐ 780) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT - [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 56 · 🔀 150 · 📥 71 · 📦 310 · 📋 440 - 30% open · ⏱️ 29.04.2021): ``` git clone https://github.com/pyvista/pyvista ``` - [PyPi](https://pypi.org/project/pyvista) (📥 27K / month · 📦 26 · ⏱️ 14.04.2021): ``` pip install pyvista ``` - [Conda](https://anaconda.org/conda-forge/pyvista) (📥 80K · ⏱️ 14.04.2021): ``` conda install -c conda-forge pyvista ```
data-validation (🥈27 · ⭐ 540) - Library for exploring and validating machine learning.. Apache-2 - [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 20 · 🔀 95 · 📥 210 · 📦 270 · 📋 120 - 30% open · ⏱️ 27.04.2021): ``` git clone https://github.com/tensorflow/data-validation ``` - [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 6.1M / month · 📦 18 · ⏱️ 21.04.2021): ``` pip install tensorflow-data-validation ```
Facets Overview (🥉26 · ⭐ 6.6K) - Visualizations for machine learning datasets. Apache-2 - [GitHub](https://github.com/PAIR-code/facets) (👨‍💻 28 · 🔀 830 · 📦 42 · 📋 150 - 50% open · ⏱️ 04.02.2021): ``` git clone https://github.com/pair-code/facets ``` - [PyPi](https://pypi.org/project/facets-overview) (📥 110K / month · 📦 6 · ⏱️ 24.07.2019): ``` pip install facets-overview ```
VisPy (🥉26 · ⭐ 2.6K · 📉) - High-performance interactive 2D/3D data visualization library. BSD-3 - [GitHub](https://github.com/vispy/vispy) (👨‍💻 150 · 🔀 550 · 📦 490 · 📋 1.2K - 30% open · ⏱️ 28.04.2021): ``` git clone https://github.com/vispy/vispy ``` - [PyPi](https://pypi.org/project/vispy) (📥 34K / month · 📦 120 · ⏱️ 28.11.2020): ``` pip install vispy ``` - [Conda](https://anaconda.org/conda-forge/vispy) (📥 140K · ⏱️ 13.01.2021): ``` conda install -c conda-forge vispy ``` - [NPM](https://www.npmjs.com/package/vispy) (📥 81 / month · ⏱️ 15.03.2020): ``` npm install vispy ```
pythreejs (🥉26 · ⭐ 720) - A Jupyter - Three.js bridge. BSD-3 - [GitHub](https://github.com/jupyter-widgets/pythreejs) (👨‍💻 27 · 🔀 160 · 📦 15 · 📋 200 - 30% open · ⏱️ 26.02.2021): ``` git clone https://github.com/jupyter-widgets/pythreejs ``` - [PyPi](https://pypi.org/project/pythreejs) (📥 24K / month · 📦 26 · ⏱️ 26.02.2021): ``` pip install pythreejs ``` - [Conda](https://anaconda.org/conda-forge/pythreejs) (📥 290K · ⏱️ 02.03.2021): ``` conda install -c conda-forge pythreejs ``` - [NPM](https://www.npmjs.com/package/jupyter-threejs) (📥 9.5K / month · 📦 8 · ⏱️ 26.02.2021): ``` npm install jupyter-threejs ```
Chartify (🥉25 · ⭐ 2.9K) - Python library that makes it easy for data scientists to create.. Apache-2 - [GitHub](https://github.com/spotify/chartify) (👨‍💻 21 · 🔀 260 · 📦 53 · 📋 70 - 57% open · ⏱️ 05.02.2021): ``` git clone https://github.com/spotify/chartify ``` - [PyPi](https://pypi.org/project/chartify) (📥 3K / month · 📦 5 · ⏱️ 02.11.2020): ``` pip install chartify ``` - [Conda](https://anaconda.org/conda-forge/chartify) (📥 13K · ⏱️ 07.11.2020): ``` conda install -c conda-forge chartify ```
HyperTools (🥉25 · ⭐ 1.6K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT - [GitHub](https://github.com/ContextLab/hypertools) (👨‍💻 21 · 🔀 150 · 📦 120 · 📋 190 - 35% open · ⏱️ 06.01.2021): ``` git clone https://github.com/ContextLab/hypertools ``` - [PyPi](https://pypi.org/project/hypertools) (📥 11K / month · 📦 9 · ⏱️ 02.10.2020): ``` pip install hypertools ```
PDPbox (🥉25 · ⭐ 560) - python partial dependence plot toolbox. MIT - [GitHub](https://github.com/SauceCat/PDPbox) (👨‍💻 7 · 🔀 88 · 📦 370 · 📋 57 - 33% open · ⏱️ 14.03.2021): ``` git clone https://github.com/SauceCat/PDPbox ``` - [PyPi](https://pypi.org/project/pdpbox) (📥 78K / month · 📦 34 · ⏱️ 14.03.2021): ``` pip install pdpbox ``` - [Conda](https://anaconda.org/conda-forge/pdpbox) (📥 7.1K · ⏱️ 14.03.2021): ``` conda install -c conda-forge pdpbox ```
hvPlot (🥉25 · ⭐ 380) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 - [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 28 · 🔀 53 · 📦 570 · 📋 360 - 34% open · ⏱️ 27.04.2021): ``` git clone https://github.com/holoviz/hvplot ``` - [PyPi](https://pypi.org/project/hvplot) (📥 29K / month · 📦 30 · ⏱️ 14.04.2021): ``` pip install hvplot ``` - [Conda](https://anaconda.org/conda-forge/hvplot) (📥 82K · ⏱️ 04.03.2021): ``` conda install -c conda-forge hvplot ```
D-Tale (🥉24 · ⭐ 2.3K) - Visualizer for pandas data structures. ❗️LGPL-2.1 - [GitHub](https://github.com/man-group/dtale) (👨‍💻 15 · 🔀 170 · 📦 140 · 📋 330 - 6% open · ⏱️ 27.04.2021): ``` git clone https://github.com/man-group/dtale ``` - [PyPi](https://pypi.org/project/dtale) (📥 14K / month · ⏱️ 27.04.2021): ``` pip install dtale ``` - [Conda](https://anaconda.org/conda-forge/dtale) (📥 53K · ⏱️ 27.04.2021): ``` conda install -c conda-forge dtale ```
openTSNE (🥉24 · ⭐ 790) - Extensible, parallel implementations of t-SNE. BSD-3 - [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 10 · 🔀 84 · 📦 200 · 📋 85 - 4% open · ⏱️ 25.04.2021): ``` git clone https://github.com/pavlin-policar/openTSNE ``` - [PyPi](https://pypi.org/project/opentsne) (📥 16K / month · 📦 4 · ⏱️ 25.04.2021): ``` pip install opentsne ``` - [Conda](https://anaconda.org/conda-forge/opentsne) (📥 92K · ⏱️ 26.04.2021): ``` conda install -c conda-forge opentsne ```
PandasGUI (🥉23 · ⭐ 2.2K) - A GUI for Pandas DataFrames. MIT - [GitHub](https://github.com/adamerose/PandasGUI) (👨‍💻 8 · 🔀 120 · 📦 62 · 📋 100 - 23% open · ⏱️ 29.04.2021): ``` git clone https://github.com/adamerose/pandasgui ``` - [PyPi](https://pypi.org/project/pandasgui) (📥 3K / month · 📦 2 · ⏱️ 07.03.2021): ``` pip install pandasgui ```
Multicore-TSNE (🥉23 · ⭐ 1.6K · 💤) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (👨‍💻 15 · 🔀 200 · 📦 220 · 📋 57 - 64% open · ⏱️ 19.08.2020): ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` - [PyPi](https://pypi.org/project/MulticoreTSNE) (📥 4.8K / month · 📦 28 · ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` - [Conda](https://anaconda.org/conda-forge/multicore-tsne) (📥 6.9K · ⏱️ 23.04.2021): ``` conda install -c conda-forge multicore-tsne ```
Pandas-Bokeh (🥉23 · ⭐ 660) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (👨‍💻 12 · 🔀 82 · 📦 160 · 📋 77 - 23% open · ⏱️ 26.04.2021): ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` - [PyPi](https://pypi.org/project/pandas-bokeh) (📥 9.2K / month · 📦 10 · ⏱️ 11.04.2021): ``` pip install pandas-bokeh ```
python-ternary (🥉23 · ⭐ 410) - Ternary plotting library for python with matplotlib. MIT - [GitHub](https://github.com/marcharper/python-ternary) (👨‍💻 25 · 🔀 110 · 📥 14 · 📦 64 · 📋 110 - 22% open · ⏱️ 31.03.2021): ``` git clone https://github.com/marcharper/python-ternary ``` - [PyPi](https://pypi.org/project/python-ternary) (📥 3.8K / month · 📦 20 · ⏱️ 17.02.2021): ``` pip install python-ternary ``` - [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 53K · ⏱️ 17.02.2021): ``` conda install -c conda-forge python-ternary ```
joypy (🥉22 · ⭐ 330) - Joyplots in Python with matplotlib & pandas. MIT - [GitHub](https://github.com/sbebo/joypy) (👨‍💻 5 · 🔀 33 · 📦 74 · 📋 41 - 12% open · ⏱️ 02.04.2021): ``` git clone https://github.com/sbebo/joypy ``` - [PyPi](https://pypi.org/project/joypy) (📥 8.3K / month · 📦 6 · ⏱️ 28.12.2020): ``` pip install joypy ``` - [Conda](https://anaconda.org/conda-forge/joypy) (📥 9.2K · ⏱️ 28.12.2020): ``` conda install -c conda-forge joypy ```
vega (🥉22 · ⭐ 300) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 - [GitHub](https://github.com/vega/ipyvega) (👨‍💻 9 · 🔀 44 · 📋 87 - 9% open · ⏱️ 02.04.2021): ``` git clone https://github.com/vega/ipyvega ``` - [PyPi](https://pypi.org/project/vega) (📥 19K / month · 📦 150 · ⏱️ 15.05.2020): ``` pip install vega ``` - [Conda](https://anaconda.org/conda-forge/vega) (📥 410K · ⏱️ 10.12.2020): ``` conda install -c conda-forge vega ```
Sweetviz (🥉21 · ⭐ 1.5K) - Visualize and compare datasets, target values and associations, with one.. MIT - [GitHub](https://github.com/fbdesignpro/sweetviz) (👨‍💻 6 · 🔀 160 · 📋 75 - 26% open · ⏱️ 01.04.2021): ``` git clone https://github.com/fbdesignpro/sweetviz ``` - [PyPi](https://pypi.org/project/sweetviz) (📥 27K / month · ⏱️ 01.04.2021): ``` pip install sweetviz ```
HiPlot (🥉20 · ⭐ 2.1K) - HiPlot makes understanding high dimensional data easy. MIT - [GitHub](https://github.com/facebookresearch/hiplot) (👨‍💻 6 · 🔀 93 · 📦 2 · 📋 64 - 15% open · ⏱️ 27.04.2021): ``` git clone https://github.com/facebookresearch/hiplot ``` - [PyPi](https://pypi.org/project/hiplot) (📥 8K / month · ⏱️ 27.04.2021): ``` pip install hiplot ``` - [Conda](https://anaconda.org/conda-forge/hiplot) (📥 53K · ⏱️ 24.03.2021): ``` conda install -c conda-forge hiplot ```
lets-plot (🥉20 · ⭐ 590) - An open-source plotting library for statistical data. MIT - [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 15 · 🔀 20 · 📥 55 · 📦 8 · 📋 160 - 40% open · ⏱️ 28.04.2021): ``` git clone https://github.com/JetBrains/lets-plot ``` - [PyPi](https://pypi.org/project/lets-plot) (📥 5.4K / month · ⏱️ 14.04.2021): ``` pip install lets-plot ```
PyWaffle (🥉20 · ⭐ 420 · 💤) - Make Waffle Charts in Python. MIT - [GitHub](https://github.com/gyli/PyWaffle) (👨‍💻 6 · 🔀 66 · 📦 49 · 📋 12 - 16% open · ⏱️ 26.07.2020): ``` git clone https://github.com/gyli/PyWaffle ``` - [PyPi](https://pypi.org/project/pywaffle) (📥 1.8K / month · ⏱️ 26.07.2020): ``` pip install pywaffle ```
FiftyOne (🥉20 · ⭐ 260) - Visualize, create, and debug image and video datasets.. Apache-2 - [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 11 · 🔀 25 · 📦 1 · 📋 390 - 34% open · ⏱️ 28.04.2021): ``` git clone https://github.com/voxel51/fiftyone ``` - [PyPi](https://pypi.org/project/fiftyone) (📥 1.6K / month · ⏱️ 06.04.2021): ``` pip install fiftyone ```
ivis (🥉20 · ⭐ 230) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - [GitHub](https://github.com/beringresearch/ivis) (👨‍💻 8 · 🔀 23 · 📦 15 · 📋 44 - 4% open · ⏱️ 26.04.2021): ``` git clone https://github.com/beringresearch/ivis ``` - [PyPi](https://pypi.org/project/ivis) (📥 890 / month · ⏱️ 15.04.2021): ``` pip install ivis ```
animatplot (🥉19 · ⭐ 360) - A python package for animating plots build on matplotlib. MIT - [GitHub](https://github.com/t-makaro/animatplot) (👨‍💻 7 · 🔀 32 · 📦 14 · 📋 33 - 51% open · ⏱️ 05.10.2020): ``` git clone https://github.com/t-makaro/animatplot ``` - [PyPi](https://pypi.org/project/animatplot) (📥 740 / month · 📦 2 · ⏱️ 05.10.2020): ``` pip install animatplot ``` - [Conda](https://anaconda.org/conda-forge/animatplot) (📥 5.7K · ⏱️ 06.10.2020): ``` conda install -c conda-forge animatplot ```
AutoViz (🥉19 · ⭐ 340) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 - [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 10 · 🔀 58 · 📦 38 · 📋 23 - 13% open · ⏱️ 21.12.2020): ``` git clone https://github.com/AutoViML/AutoViz ``` - [PyPi](https://pypi.org/project/autoviz) (📥 3.7K / month · ⏱️ 10.12.2020): ``` pip install autoviz ```
data-describe (🥉15 · ⭐ 280) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - [GitHub](https://github.com/data-describe/data-describe) (👨‍💻 14 · 🔀 14 · 📋 240 - 28% open · ⏱️ 02.03.2021): ``` git clone https://github.com/data-describe/data-describe ``` - [PyPi](https://pypi.org/project/data-describe) (📥 320 / month · ⏱️ 03.12.2020): ``` pip install data-describe ```
nx-altair (🥉15 · ⭐ 160 · 💤) - Draw interactive NetworkX graphs with Altair. MIT - [GitHub](https://github.com/Zsailer/nx_altair) (👨‍💻 3 · 🔀 20 · 📋 9 - 55% open · ⏱️ 02.06.2020): ``` git clone https://github.com/Zsailer/nx_altair ``` - [PyPi](https://pypi.org/project/nx-altair) (📥 460 / month · 📦 4 · ⏱️ 02.06.2020): ``` pip install nx-altair ```
Show 4 hidden projects... - plotnine (🥈28 · ⭐ 2.7K) - A grammar of graphics for Python. ❗️GPL-2.0 - pivottablejs (🥉19 · ⭐ 430 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT - nptsne (🥉14 · ⭐ 25) - nptsne is a numpy compatible python binary package that offers a number.. Apache-2

## Text Data & NLP Back to top _Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._
spaCy (🥇37 · ⭐ 20K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT - [GitHub](https://github.com/explosion/spaCy) (👨‍💻 580 · 🔀 3.4K · 📥 3K · 📦 24K · 📋 4.6K - 2% open · ⏱️ 28.04.2021): ``` git clone https://github.com/explosion/spaCy ``` - [PyPi](https://pypi.org/project/spacy) (📥 2M / month · 📦 3.1K · ⏱️ 23.04.2021): ``` pip install spacy ``` - [Conda](https://anaconda.org/conda-forge/spacy) (📥 1.8M · ⏱️ 24.04.2021): ``` conda install -c conda-forge spacy ```
transformers (🥇36 · ⭐ 45K) - Transformers: State-of-the-art Natural Language.. Apache-2 - [GitHub](https://github.com/huggingface/transformers) (👨‍💻 860 · 🔀 11K · 📥 1.3K · 📦 10K · 📋 7K - 10% open · ⏱️ 29.04.2021): ``` git clone https://github.com/huggingface/transformers ``` - [PyPi](https://pypi.org/project/transformers) (📥 2M / month · 📦 130 · ⏱️ 13.04.2021): ``` pip install transformers ``` - [Conda](https://anaconda.org/conda-forge/transformers) (📥 37K · ⏱️ 14.04.2021): ``` conda install -c conda-forge transformers ```
gensim (🥇36 · ⭐ 12K) - Topic Modelling for Humans. ❗️LGPL-2.1 - [GitHub](https://github.com/RaRe-Technologies/gensim) (👨‍💻 390 · 🔀 4K · 📥 3.3K · 📦 23K · 📋 1.6K - 21% open · ⏱️ 29.04.2021): ``` git clone https://github.com/RaRe-Technologies/gensim ``` - [PyPi](https://pypi.org/project/gensim) (📥 8.8M / month · 📦 4.7K · ⏱️ 25.03.2021): ``` pip install gensim ``` - [Conda](https://anaconda.org/conda-forge/gensim) (📥 640K · ⏱️ 02.04.2021): ``` conda install -c conda-forge gensim ```
nltk (🥇35 · ⭐ 9.8K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 - [GitHub](https://github.com/nltk/nltk) (👨‍💻 400 · 🔀 2.5K · 📦 98K · 📋 1.5K - 15% open · ⏱️ 26.04.2021): ``` git clone https://github.com/nltk/nltk ``` - [PyPi](https://pypi.org/project/nltk) (📥 13M / month · 📦 21K · ⏱️ 07.04.2021): ``` pip install nltk ``` - [Conda](https://anaconda.org/conda-forge/nltk) (📥 680K · ⏱️ 20.04.2021): ``` conda install -c conda-forge nltk ```
AllenNLP (🥇32 · ⭐ 10K) - An open-source NLP research library, built on PyTorch. Apache-2 - [GitHub](https://github.com/allenai/allennlp) (👨‍💻 240 · 🔀 2K · 📥 37 · 📦 1.6K · 📋 2.3K - 4% open · ⏱️ 27.04.2021): ``` git clone https://github.com/allenai/allennlp ``` - [PyPi](https://pypi.org/project/allennlp) (📥 39K / month · 📦 230 · ⏱️ 23.04.2021): ``` pip install allennlp ```
fairseq (🥇31 · ⭐ 12K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT - [GitHub](https://github.com/pytorch/fairseq) (👨‍💻 320 · 🔀 3K · 📥 120 · 📦 360 · 📋 2.7K - 29% open · ⏱️ 29.04.2021): ``` git clone https://github.com/pytorch/fairseq ``` - [PyPi](https://pypi.org/project/fairseq) (📥 27K / month · 📦 20 · ⏱️ 05.01.2021): ``` pip install fairseq ```
ChatterBot (🥇31 · ⭐ 11K · 💤) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - [GitHub](https://github.com/gunthercox/ChatterBot) (👨‍💻 100 · 🔀 3.7K · 📦 3.4K · 📋 1.5K - 16% open · ⏱️ 20.08.2020): ``` git clone https://github.com/gunthercox/ChatterBot ``` - [PyPi](https://pypi.org/project/chatterbot) (📥 22K / month · 📦 680 · ⏱️ 22.08.2020): ``` pip install chatterbot ```
sentencepiece (🥇31 · ⭐ 5K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 - [GitHub](https://github.com/google/sentencepiece) (👨‍💻 52 · 🔀 660 · 📥 13K · 📦 7.2K · 📋 440 - 7% open · ⏱️ 20.04.2021): ``` git clone https://github.com/google/sentencepiece ``` - [PyPi](https://pypi.org/project/sentencepiece) (📥 2.1M / month · 📦 240 · ⏱️ 10.01.2021): ``` pip install sentencepiece ``` - [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 49K · ⏱️ 09.02.2021): ``` conda install -c conda-forge sentencepiece ```
snowballstemmer (🥇31 · ⭐ 490) - Snowball compiler and stemming algorithms. BSD-3 - [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 26 · 🔀 140 · 📦 48K · 📋 62 - 32% open · ⏱️ 11.04.2021): ``` git clone https://github.com/snowballstem/snowball ``` - [PyPi](https://pypi.org/project/snowballstemmer) (📥 5.7M / month · 📦 13K · ⏱️ 21.01.2021): ``` pip install snowballstemmer ``` - [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 2.4M · ⏱️ 21.01.2021): ``` conda install -c conda-forge snowballstemmer ```
fastText (🥈30 · ⭐ 23K · 💤) - Library for fast text representation and classification. MIT - [GitHub](https://github.com/facebookresearch/fastText) (👨‍💻 58 · 🔀 4.3K · 📦 1.7K · 📋 1K - 42% open · ⏱️ 18.07.2020): ``` git clone https://github.com/facebookresearch/fastText ``` - [PyPi](https://pypi.org/project/fasttext) (📥 320K / month · 📦 190 · ⏱️ 28.04.2020): ``` pip install fasttext ``` - [Conda](https://anaconda.org/conda-forge/fasttext) (📥 19K · ⏱️ 12.10.2020): ``` conda install -c conda-forge fasttext ```
flair (🥈30 · ⭐ 10K · 📉) - A very simple framework for state-of-the-art Natural Language.. MIT - [GitHub](https://github.com/flairNLP/flair) (👨‍💻 200 · 🔀 1.5K · 📦 720 · 📋 1.5K - 6% open · ⏱️ 27.04.2021): ``` git clone https://github.com/flairNLP/flair ``` - [PyPi](https://pypi.org/project/flair) (📥 60K / month · 📦 48 · ⏱️ 08.03.2021): ``` pip install flair ```
TextBlob (🥈30 · ⭐ 7.6K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT - [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 34 · 🔀 1K · 📥 90 · 📦 12K · 📋 240 - 36% open · ⏱️ 16.04.2021): ``` git clone https://github.com/sloria/TextBlob ``` - [PyPi](https://pypi.org/project/textblob) (📥 470K / month · 📦 2.5K · ⏱️ 24.02.2019): ``` pip install textblob ``` - [Conda](https://anaconda.org/conda-forge/textblob) (📥 120K · ⏱️ 24.02.2019): ``` conda install -c conda-forge textblob ```
sentence-transformers (🥈30 · ⭐ 4.9K) - Sentence Embeddings with BERT & XLNet. Apache-2 - [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 45 · 🔀 900 · 📦 940 · 📋 820 - 47% open · ⏱️ 29.04.2021): ``` git clone https://github.com/UKPLab/sentence-transformers ``` - [PyPi](https://pypi.org/project/sentence-transformers) (📥 1.1M / month · ⏱️ 21.04.2021): ``` pip install sentence-transformers ```
torchtext (🥈30 · ⭐ 2.7K) - Data loaders and abstractions for text and NLP. BSD-3 - [GitHub](https://github.com/pytorch/text) (👨‍💻 110 · 🔀 620 · 📦 4.3K · 📋 610 - 47% open · ⏱️ 26.04.2021): ``` git clone https://github.com/pytorch/text ``` - [PyPi](https://pypi.org/project/torchtext) (📥 150K / month · 📦 680 · ⏱️ 25.03.2021): ``` pip install torchtext ```
Dedupe (🥈29 · ⭐ 3K) - A python library for accurate and scalable fuzzy matching, record.. MIT - [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 56 · 🔀 420 · 📦 180 · 📋 640 - 9% open · ⏱️ 17.04.2021): ``` git clone https://github.com/dedupeio/dedupe ``` - [PyPi](https://pypi.org/project/dedupe) (📥 87K / month · 📦 78 · ⏱️ 17.04.2021): ``` pip install dedupe ```
ftfy (🥈29 · ⭐ 2.9K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT - [GitHub](https://github.com/LuminosoInsight/python-ftfy) (👨‍💻 17 · 🔀 100 · 📦 3.1K · 📋 110 - 11% open · ⏱️ 16.04.2021): ``` git clone https://github.com/LuminosoInsight/python-ftfy ``` - [PyPi](https://pypi.org/project/ftfy) (📥 830K / month · 📦 760 · ⏱️ 16.04.2021): ``` pip install ftfy ``` - [Conda](https://anaconda.org/conda-forge/ftfy) (📥 100K · ⏱️ 19.04.2021): ``` conda install -c conda-forge ftfy ```
Rasa (🥈28 · ⭐ 11K) - Open source machine learning framework to automate text- and voice-.. Apache-2 - [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 480 · 🔀 3.3K · 📋 5.3K - 11% open · ⏱️ 29.04.2021): ``` git clone https://github.com/RasaHQ/rasa ``` - [PyPi](https://pypi.org/project/rasa) (📥 180K / month · 📦 64 · ⏱️ 28.04.2021): ``` pip install rasa ```
DeepPavlov (🥈28 · ⭐ 5.2K) - An open source library for deep learning end-to-end dialog.. Apache-2 - [GitHub](https://github.com/deepmipt/DeepPavlov) (👨‍💻 61 · 🔀 930 · 📦 190 · 📋 580 - 20% open · ⏱️ 03.04.2021): ``` git clone https://github.com/deepmipt/DeepPavlov ``` - [PyPi](https://pypi.org/project/deeppavlov) (📥 9.1K / month · 📦 8 · ⏱️ 03.04.2021): ``` pip install deeppavlov ```
OpenNMT (🥈28 · ⭐ 5K) - Open Source Neural Machine Translation in PyTorch. MIT - [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 170 · 🔀 1.8K · 📦 84 · 📋 1.3K - 8% open · ⏱️ 29.04.2021): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` - [PyPi](https://pypi.org/project/OpenNMT-py) (📥 5.2K / month · 📦 4 · ⏱️ 27.01.2021): ``` pip install OpenNMT-py ```
phonenumbers (🥈28 · ⭐ 2.7K) - Python port of Google's libphonenumber. Apache-2 - [GitHub](https://github.com/daviddrysdale/python-phonenumbers) (👨‍💻 22 · 🔀 340 · 📋 120 - 2% open · ⏱️ 07.04.2021): ``` git clone https://github.com/daviddrysdale/python-phonenumbers ``` - [PyPi](https://pypi.org/project/phonenumbers) (📥 1.6M / month · 📦 2.3K · ⏱️ 07.04.2021): ``` pip install phonenumbers ``` - [Conda](https://anaconda.org/conda-forge/phonenumbers) (📥 410K · ⏱️ 04.08.2019): ``` conda install -c conda-forge phonenumbers ```
textacy (🥈28 · ⭐ 1.7K) - NLP, before and after spaCy. Apache-2 - [GitHub](https://github.com/chartbeat-labs/textacy) (👨‍💻 30 · 🔀 230 · 📋 230 - 12% open · ⏱️ 23.04.2021): ``` git clone https://github.com/chartbeat-labs/textacy ``` - [PyPi](https://pypi.org/project/textacy) (📥 210K / month · 📦 150 · ⏱️ 12.04.2021): ``` pip install textacy ``` - [Conda](https://anaconda.org/conda-forge/textacy) (📥 85K · ⏱️ 13.04.2021): ``` conda install -c conda-forge textacy ```
Tokenizers (🥈27 · ⭐ 4.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 - [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 40 · 🔀 330 · 📦 32 · 📋 420 - 23% open · ⏱️ 21.04.2021): ``` git clone https://github.com/huggingface/tokenizers ``` - [PyPi](https://pypi.org/project/tokenizers) (📥 2.3M / month · ⏱️ 05.04.2021): ``` pip install tokenizers ``` - [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 47K · ⏱️ 10.03.2021): ``` conda install -c conda-forge tokenizers ```
ParlAI (🥈26 · ⭐ 7.2K) - A framework for training and evaluating AI models on a variety of.. MIT - [GitHub](https://github.com/facebookresearch/ParlAI) (👨‍💻 150 · 🔀 1.5K · 📦 21 · 📋 990 - 9% open · ⏱️ 29.04.2021): ``` git clone https://github.com/facebookresearch/ParlAI ``` - [PyPi](https://pypi.org/project/parlai) (📥 2.6K / month · ⏱️ 23.04.2021): ``` pip install parlai ```
vaderSentiment (🥈26 · ⭐ 2.9K) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT - [GitHub](https://github.com/cjhutto/vaderSentiment) (👨‍💻 10 · 🔀 760 · 📦 2.6K · 📋 100 - 29% open · ⏱️ 15.03.2021): ``` git clone https://github.com/cjhutto/vaderSentiment ``` - [PyPi](https://pypi.org/project/vadersentiment) (📥 140K / month · 📦 290 · ⏱️ 22.05.2020): ``` pip install vadersentiment ```
GluonNLP (🥈26 · ⭐ 2.3K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2 - [GitHub](https://github.com/dmlc/gluon-nlp) (👨‍💻 81 · 🔀 510 · 📦 460 · 📋 540 - 46% open · ⏱️ 22.04.2021): ``` git clone https://github.com/dmlc/gluon-nlp ``` - [PyPi](https://pypi.org/project/gluonnlp) (📥 46K / month · 📦 22 · ⏱️ 13.08.2020): ``` pip install gluonnlp ```
spark-nlp (🥈26 · ⭐ 2.1K) - State of the Art Natural Language Processing. Apache-2 - [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 84 · 🔀 440 · 📋 470 - 16% open · ⏱️ 29.04.2021): ``` git clone https://github.com/JohnSnowLabs/spark-nlp ``` - [PyPi](https://pypi.org/project/spark-nlp) (📥 690K / month · ⏱️ 21.04.2021): ``` pip install spark-nlp ```
haystack (🥈26 · ⭐ 1.7K) - End-to-end Python framework for building natural language search.. Apache-2 - [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 43 · 🔀 320 · 📦 47 · 📋 580 - 14% open · ⏱️ 27.04.2021): ``` git clone https://github.com/deepset-ai/haystack ``` - [PyPi](https://pypi.org/project/haystack) (📥 1.5K / month · 📦 170 · ⏱️ 03.07.2017): ``` pip install haystack ```
jellyfish (🥈26 · ⭐ 1.4K) - a python library for doing approximate and phonetic matching of.. BSD-2 - [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 22 · 🔀 130 · 📦 2.3K · 📋 100 - 11% open · ⏱️ 21.04.2021): ``` git clone https://github.com/jamesturk/jellyfish ``` - [PyPi](https://pypi.org/project/jellyfish) (📥 1.4M / month · 📦 650 · ⏱️ 21.05.2020): ``` pip install jellyfish ``` - [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 120K · ⏱️ 08.01.2021): ``` conda install -c conda-forge jellyfish ```
TensorFlow Text (🥈26 · ⭐ 720) - Making text a first-class citizen in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/text) (👨‍💻 37 · 🔀 87 · 📦 620 · 📋 140 - 32% open · ⏱️ 26.04.2021): ``` git clone https://github.com/tensorflow/text ``` - [PyPi](https://pypi.org/project/tensorflow-text) (📥 360K / month · 📦 4 · ⏱️ 06.04.2021): ``` pip install tensorflow-text ```
CLTK (🥈26 · ⭐ 660) - The Classical Language Toolkit. MIT - [GitHub](https://github.com/cltk/cltk) (👨‍💻 110 · 🔀 300 · 📥 22 · 📦 160 · 📋 500 - 25% open · ⏱️ 13.04.2021): ``` git clone https://github.com/cltk/cltk ``` - [PyPi](https://pypi.org/project/cltk) (📥 3.5K / month · 📦 68 · ⏱️ 13.04.2021): ``` pip install cltk ```
pyahocorasick (🥈26 · ⭐ 600) - Python module (C extension and plain python) implementing Aho-.. BSD-3 - [GitHub](https://github.com/WojciechMula/pyahocorasick) (👨‍💻 21 · 🔀 88 · 📦 570 · 📋 100 - 32% open · ⏱️ 27.03.2021): ``` git clone https://github.com/WojciechMula/pyahocorasick ``` - [PyPi](https://pypi.org/project/pyahocorasick) (📥 210K / month · 📦 100 · ⏱️ 27.03.2021): ``` pip install pyahocorasick ``` - [Conda](https://anaconda.org/conda-forge/pyahocorasick) (📥 120K · ⏱️ 13.10.2020): ``` conda install -c conda-forge pyahocorasick ```
inflect (🥈26 · ⭐ 510) - Correctly generate plurals, ordinals, indefinite articles; convert numbers.. MIT - [GitHub](https://github.com/jaraco/inflect) (👨‍💻 29 · 🔀 59 · 📋 76 - 17% open · ⏱️ 23.03.2021): ``` git clone https://github.com/jaraco/inflect ``` - [PyPi](https://pypi.org/project/inflect) (📥 1.8M / month · 📦 1.4K · ⏱️ 03.03.2021): ``` pip install inflect ``` - [Conda](https://anaconda.org/conda-forge/inflect) (📥 150K · ⏱️ 03.03.2021): ``` conda install -c conda-forge inflect ```
PyText (🥉25 · ⭐ 6.2K) - A natural language modeling framework based on PyTorch. BSD-3 - [GitHub](https://github.com/facebookresearch/pytext) (👨‍💻 180 · 🔀 790 · 📥 220 · 📦 75 · 📋 200 - 63% open · ⏱️ 28.04.2021): ``` git clone https://github.com/facebookresearch/pytext ``` - [PyPi](https://pypi.org/project/pytext-nlp) (📥 650 / month · 📦 1 · ⏱️ 08.06.2020): ``` pip install pytext-nlp ```
stanza (🥉25 · ⭐ 5.4K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 - [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 32 · 🔀 680 · 📦 440 · 📋 490 - 11% open · ⏱️ 10.02.2021): ``` git clone https://github.com/stanfordnlp/stanza ``` - [PyPi](https://pypi.org/project/stanza) (📥 41K / month · 📦 4 · ⏱️ 27.01.2021): ``` pip install stanza ``` - [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 3.6K · ⏱️ 27.01.2021): ``` conda install -c stanfordnlp stanza ```
T5 (🥉25 · ⭐ 3.3K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 - [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨‍💻 37 · 🔀 450 · 📦 33 · 📋 370 - 13% open · ⏱️ 29.04.2021): ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` - [PyPi](https://pypi.org/project/t5) (📥 12K / month · ⏱️ 03.03.2021): ``` pip install t5 ```
Sumy (🥉25 · ⭐ 2.6K) - Module for automatic summarization of text documents and HTML pages. Apache-2 - [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 20 · 🔀 450 · 📦 750 · 📋 90 - 13% open · ⏱️ 21.11.2020): ``` git clone https://github.com/miso-belica/sumy ``` - [PyPi](https://pypi.org/project/sumy) (📥 20K / month · 📦 190 · ⏱️ 19.05.2019): ``` pip install sumy ```
fastNLP (🥉25 · ⭐ 2.1K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2 - [GitHub](https://github.com/fastnlp/fastNLP) (👨‍💻 50 · 🔀 360 · 📥 54 · 📦 31 · 📋 150 - 13% open · ⏱️ 12.04.2021): ``` git clone https://github.com/fastnlp/fastNLP ``` - [PyPi](https://pypi.org/project/fastnlp) (📥 1.1K / month · 📦 1 · ⏱️ 04.02.2019): ``` pip install fastnlp ```
pytorch-nlp (🥉25 · ⭐ 1.9K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 - [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (👨‍💻 17 · 🔀 220 · 📦 210 · 📋 63 - 22% open · ⏱️ 26.01.2021): ``` git clone https://github.com/PetrochukM/PyTorch-NLP ``` - [PyPi](https://pypi.org/project/pytorch-nlp) (📥 8.1K / month · 📦 18 · ⏱️ 04.11.2019): ``` pip install pytorch-nlp ```
scattertext (🥉25 · ⭐ 1.6K) - Beautiful visualizations of how language differs among document.. Apache-2 - [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 11 · 🔀 220 · 📦 180 · 📋 79 - 21% open · ⏱️ 08.03.2021): ``` git clone https://github.com/JasonKessler/scattertext ``` - [PyPi](https://pypi.org/project/scattertext) (📥 4.9K / month · 📦 16 · ⏱️ 08.03.2021): ``` pip install scattertext ``` - [Conda](https://anaconda.org/conda-forge/scattertext) (📥 49K · ⏱️ 18.01.2021): ``` conda install -c conda-forge scattertext ```
flashtext (🥉24 · ⭐ 4.7K · 💤) - Extract Keywords from sentence or Replace keywords in sentences. MIT - [GitHub](https://github.com/vi3k6i5/flashtext) (👨‍💻 8 · 🔀 540 · 📦 430 · 📋 100 - 51% open · ⏱️ 03.05.2020): ``` git clone https://github.com/vi3k6i5/flashtext ``` - [PyPi](https://pypi.org/project/flashtext) (📥 320K / month · 📦 32 · ⏱️ 16.02.2018): ``` pip install flashtext ```
textgenrnn (🥉24 · ⭐ 4.4K · 💤) - Easily train your own text-generating neural network of any.. MIT - [GitHub](https://github.com/minimaxir/textgenrnn) (👨‍💻 19 · 🔀 680 · 📥 500 · 📦 820 · 📋 200 - 58% open · ⏱️ 14.07.2020): ``` git clone https://github.com/minimaxir/textgenrnn ``` - [PyPi](https://pypi.org/project/textgenrnn) (📥 10K / month · 📦 28 · ⏱️ 02.02.2020): ``` pip install textgenrnn ```
sense2vec (🥉24 · ⭐ 1.2K) - Contextually-keyed word vectors. MIT - [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 15 · 🔀 210 · 📥 15K · 📦 62 · 📋 99 - 16% open · ⏱️ 18.04.2021): ``` git clone https://github.com/explosion/sense2vec ``` - [PyPi](https://pypi.org/project/sense2vec) (📥 5.6K / month · 📦 12 · ⏱️ 19.04.2021): ``` pip install sense2vec ``` - [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 18K · ⏱️ 16.03.2020): ``` conda install -c conda-forge sense2vec ```
spacy-transformers (🥉24 · ⭐ 940) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy - [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 15 · 🔀 110 · 📦 130 · ⏱️ 20.04.2021): ``` git clone https://github.com/explosion/spacy-transformers ``` - [PyPi](https://pypi.org/project/spacy-transformers) (📥 32K / month · 📦 6 · ⏱️ 02.02.2021): ``` pip install spacy-transformers ```
Ciphey (🥉23 · ⭐ 6.8K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT - [GitHub](https://github.com/Ciphey/Ciphey) (👨‍💻 40 · 🔀 370 · 📋 230 - 17% open · ⏱️ 13.04.2021): ``` git clone https://github.com/Ciphey/Ciphey ``` - [PyPi](https://pypi.org/project/ciphey) (📥 6.4K / month · ⏱️ 28.02.2021): ``` pip install ciphey ``` - [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (📥 9.3K · ⭐ 3 · ⏱️ 17.04.2021): ``` docker pull remnux/ciphey ```
neuralcoref (🥉23 · ⭐ 2.3K) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - [GitHub](https://github.com/huggingface/neuralcoref) (👨‍💻 20 · 🔀 400 · 📥 200 · 📦 330 · 📋 270 - 17% open · ⏱️ 24.02.2021): ``` git clone https://github.com/huggingface/neuralcoref ``` - [PyPi](https://pypi.org/project/neuralcoref) (📥 6.9K / month · 📦 18 · ⏱️ 08.04.2019): ``` pip install neuralcoref ``` - [Conda](https://anaconda.org/conda-forge/neuralcoref) (📥 7.6K · ⏱️ 21.02.2020): ``` conda install -c conda-forge neuralcoref ```
PyTextRank (🥉23 · ⭐ 1.5K) - Python implementation of TextRank for phrase extraction and.. MIT - [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 13 · 🔀 300 · 📦 140 · 📋 67 - 25% open · ⏱️ 27.04.2021): ``` git clone https://github.com/DerwenAI/pytextrank ``` - [PyPi](https://pypi.org/project/pytextrank) (📥 11K / month · 📦 12 · ⏱️ 25.03.2021): ``` pip install pytextrank ```
pySBD (🥉23 · ⭐ 310) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - [GitHub](https://github.com/nipunsadvilkar/pySBD) (👨‍💻 6 · 🔀 29 · 📦 140 · 📋 55 - 12% open · ⏱️ 11.02.2021): ``` git clone https://github.com/nipunsadvilkar/pySBD ``` - [PyPi](https://pypi.org/project/pysbd) (📥 24K / month · 📦 4 · ⏱️ 11.02.2021): ``` pip install pysbd ```
gpt-2-simple (🥉22 · ⭐ 2.6K) - Python package to easily retrain OpenAI's GPT-2 text-.. MIT - [GitHub](https://github.com/minimaxir/gpt-2-simple) (👨‍💻 17 · 🔀 540 · 📥 220 · 📋 240 - 60% open · ⏱️ 14.02.2021): ``` git clone https://github.com/minimaxir/gpt-2-simple ``` - [PyPi](https://pypi.org/project/gpt-2-simple) (📥 12K / month · 📦 6 · ⏱️ 14.02.2021): ``` pip install gpt-2-simple ```
TextDistance (🥉22 · ⭐ 2K · 📉) - Compute distance between sequences. 30+ algorithms, pure python.. MIT - [GitHub](https://github.com/life4/textdistance) (👨‍💻 9 · 🔀 160 · 📥 100 · 📦 520 · ⏱️ 29.01.2021): ``` git clone https://github.com/life4/textdistance ``` - [PyPi](https://pypi.org/project/textdistance) (📦 28 · ⏱️ 29.01.2021): ``` pip install textdistance ``` - [Conda](https://anaconda.org/conda-forge/textdistance) (📥 34K · ⏱️ 29.01.2021): ``` conda install -c conda-forge textdistance ```
anaGo (🥉22 · ⭐ 1.4K) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-.. MIT - [GitHub](https://github.com/Hironsan/anago) (👨‍💻 11 · 🔀 360 · 📦 25 · 📋 110 - 33% open · ⏱️ 01.04.2021): ``` git clone https://github.com/Hironsan/anago ``` - [PyPi](https://pypi.org/project/anago) (📥 3.5K / month · 📦 5 · ⏱️ 17.07.2018): ``` pip install anago ```
FARM (🥉22 · ⭐ 1.2K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2 - [GitHub](https://github.com/deepset-ai/FARM) (👨‍💻 32 · 🔀 170 · 📋 350 - 10% open · ⏱️ 07.04.2021): ``` git clone https://github.com/deepset-ai/FARM ``` - [PyPi](https://pypi.org/project/farm) (📥 6.4K / month · 📦 2 · ⏱️ 22.02.2021): ``` pip install farm ```
SciSpacy (🥉22 · ⭐ 900) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 - [GitHub](https://github.com/allenai/scispacy) (👨‍💻 20 · 🔀 130 · 📦 240 · 📋 180 - 13% open · ⏱️ 19.04.2021): ``` git clone https://github.com/allenai/scispacy ``` - [PyPi](https://pypi.org/project/scispacy) (📥 17K / month · 📦 12 · ⏱️ 12.02.2021): ``` pip install scispacy ```
DeepMatcher (🥉21 · ⭐ 3.6K · 💤) - Python package for performing Entity and Text Matching using.. BSD-3 - [GitHub](https://github.com/anhaidgroup/deepmatcher) (👨‍💻 7 · 🔀 1.3K · 📦 12 · 📋 66 - 71% open · ⏱️ 20.04.2020): ``` git clone https://github.com/anhaidgroup/deepmatcher ``` - [PyPi](https://pypi.org/project/deepmatcher) (📥 650 / month · ⏱️ 30.12.2019): ``` pip install deepmatcher ```
NLP Architect (🥉21 · ⭐ 2.7K) - A model library for exploring state-of-the-art deep learning.. Apache-2 - [GitHub](https://github.com/IntelLabs/nlp-architect) (👨‍💻 36 · 🔀 400 · 📦 7 · 📋 130 - 12% open · ⏱️ 13.04.2021): ``` git clone https://github.com/IntelLabs/nlp-architect ``` - [PyPi](https://pypi.org/project/nlp-architect) (📥 380 / month · ⏱️ 12.04.2020): ``` pip install nlp-architect ```
Texar (🥉21 · ⭐ 2.1K · 💤) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - [GitHub](https://github.com/asyml/texar) (👨‍💻 41 · 🔀 350 · 📦 13 · 📋 160 - 20% open · ⏱️ 29.07.2020): ``` git clone https://github.com/asyml/texar ``` - [PyPi](https://pypi.org/project/texar) (📥 140 / month · 📦 2 · ⏱️ 19.11.2019): ``` pip install texar ```
Sockeye (🥉21 · ⭐ 1K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 - [GitHub](https://github.com/awslabs/sockeye) (👨‍💻 52 · 🔀 300 · 📋 250 - 8% open · ⏱️ 07.04.2021): ``` git clone https://github.com/awslabs/sockeye ``` - [PyPi](https://pypi.org/project/sockeye) (📥 1.2K / month · 📦 2 · ⏱️ 07.04.2021): ``` pip install sockeye ```
NeMo (🥉20 · ⭐ 2.6K) - NeMo: a toolkit for conversational AI. Apache-2 - [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 90 · 🔀 450 · 📥 550 · 📋 630 - 31% open · ⏱️ 28.04.2021): ``` git clone https://github.com/NVIDIA/NeMo ``` - [PyPi](https://pypi.org/project/nemo-toolkit) (📥 6.7K / month · 📦 4 · ⏱️ 11.12.2020): ``` pip install nemo-toolkit ```
Texthero (🥉20 · ⭐ 2.2K) - Text preprocessing, representation and visualization from zero to hero. MIT - [GitHub](https://github.com/jbesomi/texthero) (👨‍💻 18 · 🔀 190 · 📥 65 · 📋 120 - 58% open · ⏱️ 07.04.2021): ``` git clone https://github.com/jbesomi/texthero ``` - [PyPi](https://pypi.org/project/texthero) (📥 5.4K / month · ⏱️ 06.07.2020): ``` pip install texthero ```
fast-bert (🥉20 · ⭐ 1.6K · 📉) - Super easy library for BERT based NLP models. Apache-2 - [GitHub](https://github.com/utterworks/fast-bert) (👨‍💻 34 · 🔀 320 · 📋 230 - 60% open · ⏱️ 28.04.2021): ``` git clone https://github.com/kaushaltrivedi/fast-bert ``` - [PyPi](https://pypi.org/project/fast-bert) (📥 3.2K / month · 📦 2 · ⏱️ 28.04.2021): ``` pip install fast-bert ```
DELTA (🥉20 · ⭐ 1.4K) - DELTA is a deep learning based natural language and speech.. Apache-2 - [GitHub](https://github.com/Delta-ML/delta) (👨‍💻 41 · 🔀 290 · 📋 78 - 11% open · ⏱️ 17.12.2020): ``` git clone https://github.com/Delta-ML/delta ``` - [PyPi](https://pypi.org/project/delta-nlp) (📥 41 / month · ⏱️ 27.03.2020): ``` pip install delta-nlp ``` - [Docker Hub](https://hub.docker.com/r/zh794390558/delta) (📥 12K · ⏱️ 28.04.2021): ``` docker pull zh794390558/delta ```
YouTokenToMe (🥉20 · ⭐ 740) - Unsupervised text tokenizer focused on computational efficiency. MIT - [GitHub](https://github.com/VKCOM/YouTokenToMe) (👨‍💻 6 · 🔀 46 · 📦 110 · 📋 43 - 48% open · ⏱️ 28.01.2021): ``` git clone https://github.com/vkcom/youtokentome ``` - [PyPi](https://pypi.org/project/youtokentome) (📥 18K / month · 📦 12 · ⏱️ 12.02.2020): ``` pip install youtokentome ```
finetune (🥉20 · ⭐ 640) - Scikit-learn style model finetuning for NLP. MPL-2.0 - [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨‍💻 19 · 🔀 68 · 📦 9 · 📋 140 - 14% open · ⏱️ 19.03.2021): ``` git clone https://github.com/IndicoDataSolutions/finetune ``` - [PyPi](https://pypi.org/project/finetune) (📥 380 / month · 📦 2 · ⏱️ 10.01.2020): ``` pip install finetune ```
textpipe (🥉20 · ⭐ 290) - Textpipe: clean and extract metadata from text. MIT - [GitHub](https://github.com/textpipe/textpipe) (👨‍💻 27 · 🔀 20 · 📦 7 · 📋 46 - 45% open · ⏱️ 25.01.2021): ``` git clone https://github.com/textpipe/textpipe ``` - [PyPi](https://pypi.org/project/textpipe) (📥 2.8K / month · 📦 1 · ⏱️ 25.01.2021): ``` pip install textpipe ```
Kashgari (🥉19 · ⭐ 2.1K) - Kashgari is a production-level NLP Transfer learning framework.. Apache-2 - [GitHub](https://github.com/BrikerMan/Kashgari) (👨‍💻 19 · 🔀 390 · 📦 28 · 📋 350 - 9% open · ⏱️ 21.03.2021): ``` git clone https://github.com/BrikerMan/Kashgari ``` - [PyPi](https://pypi.org/project/kashgari-tf) (📥 250 / month · 📦 2 · ⏱️ 18.10.2019): ``` pip install kashgari-tf ```
Camphr (🥉19 · ⭐ 330) - spaCy plugin for Transformers , Udify, ELmo, etc. Apache-2 spacy - [GitHub](https://github.com/PKSHATechnology-Research/camphr) (👨‍💻 7 · 🔀 17 · 📋 33 - 36% open · ⏱️ 02.04.2021): ``` git clone https://github.com/PKSHATechnology-Research/camphr ``` - [PyPi](https://pypi.org/project/camphr) (📥 1.1K / month · ⏱️ 05.03.2021): ``` pip install camphr ```
skift (🥉18 · ⭐ 220) - scikit-learn wrappers for Python fastText. MIT - [GitHub](https://github.com/shaypal5/skift) (👨‍💻 7 · 🔀 22 · 📦 8 · 📋 10 - 20% open · ⏱️ 31.03.2021): ``` git clone https://github.com/shaypal5/skift ``` - [PyPi](https://pypi.org/project/skift) (📥 1.6K / month · ⏱️ 27.08.2020): ``` pip install skift ```
VizSeq (🥉16 · ⭐ 320) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT - [GitHub](https://github.com/facebookresearch/vizseq) (👨‍💻 3 · 🔀 41 · 📦 2 · 📋 15 - 46% open · ⏱️ 20.04.2021): ``` git clone https://github.com/facebookresearch/vizseq ``` - [PyPi](https://pypi.org/project/vizseq) (📥 230 / month · ⏱️ 07.08.2020): ``` pip install vizseq ```
NeuralQA (🥉16 · ⭐ 190) - NeuralQA: A Usable Library for Question Answering on Large Datasets with.. MIT - [GitHub](https://github.com/victordibia/neuralqa) (👨‍💻 3 · 🔀 24 · 📦 2 · 📋 29 - 72% open · ⏱️ 16.12.2020): ``` git clone https://github.com/victordibia/neuralqa ``` - [PyPi](https://pypi.org/project/neuralqa) (📥 190 / month · ⏱️ 18.09.2020): ``` pip install neuralqa ```
Translate (🥉15 · ⭐ 690) - Translate - a PyTorch Language Library. BSD-3 - [GitHub](https://github.com/pytorch/translate) (👨‍💻 86 · 🔀 170 · 📋 93 - 70% open · ⏱️ 23.04.2021): ``` git clone https://github.com/pytorch/translate ``` - [PyPi](https://pypi.org/project/pytorch-translate) (📥 17 / month · ⏱️ 01.05.2018): ``` pip install pytorch-translate ```
TransferNLP (🥉15 · ⭐ 290 · 💤) - NLP library designed for reproducible experimentation.. MIT - [GitHub](https://github.com/feedly/transfer-nlp) (👨‍💻 7 · 🔀 18 · 📋 24 - 16% open · ⏱️ 28.05.2020): ``` git clone https://github.com/feedly/transfer-nlp ``` - [PyPi](https://pypi.org/project/transfer-nlp) (📥 170 / month · ⏱️ 28.05.2020): ``` pip install transfer-nlp ```
OpenNRE (🥉14 · ⭐ 3.1K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - [GitHub](https://github.com/thunlp/OpenNRE) (👨‍💻 9 · 🔀 860 · 📋 310 - 7% open · ⏱️ 09.03.2021): ``` git clone https://github.com/thunlp/OpenNRE ```
textvec (🥉14 · ⭐ 170) - Text vectorization tool to outperform TFIDF for classification tasks. MIT - [GitHub](https://github.com/textvec/textvec) (👨‍💻 5 · 🔀 21 · 📦 2 · 📋 8 - 25% open · ⏱️ 03.12.2020): ``` git clone https://github.com/textvec/textvec ``` - [PyPi](https://pypi.org/project/textvec) (📥 160 / month · ⏱️ 03.12.2020): ``` pip install textvec ```
Show 10 hidden projects... - fuzzywuzzy (🥈30 · ⭐ 8K) - Fuzzy String Matching in Python. ❗️GPL-2.0 - langid (🥈27 · ⭐ 1.8K · 💀) - Stand-alone language identification system. BSD-3 - polyglot (🥈26 · ⭐ 1.8K · 💤) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - Snips NLU (🥉23 · ⭐ 3.5K · 💀) - Snips Python library to extract meaning from text. Apache-2 - MatchZoo (🥉22 · ⭐ 3.4K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2 - stop-words (🥉22 · ⭐ 120 · 💀) - Get list of common stop words in various languages in Python. BSD-3 - pyfasttext (🥉19 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0 - NeuroNER (🥉18 · ⭐ 1.5K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - Headliner (🥉17 · ⭐ 220 · 💀) - Easy training and deployment of seq2seq models. MIT - ONNX-T5 (🥉14 · ⭐ 150) - Summarization, translation, sentiment-analysis, text-generation and.. Apache-2

## Image Data Back to top _Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._
Pillow (🥇40 · ⭐ 8.5K) - The friendly PIL fork (Python Imaging Library). ❗️PIL - [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 360 · 🔀 1.6K · 📦 450K · 📋 2.2K - 9% open · ⏱️ 29.04.2021): ``` git clone https://github.com/python-pillow/Pillow ``` - [PyPi](https://pypi.org/project/Pillow) (📥 31M / month · 📦 110K · ⏱️ 01.04.2021): ``` pip install Pillow ``` - [Conda](https://anaconda.org/conda-forge/pillow) (📥 8.2M · ⏱️ 08.04.2021): ``` conda install -c conda-forge pillow ```
torchvision (🥇36 · ⭐ 9K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 - [GitHub](https://github.com/pytorch/vision) (👨‍💻 380 · 🔀 4.5K · 📦 48K · 📋 1.7K - 26% open · ⏱️ 28.04.2021): ``` git clone https://github.com/pytorch/vision ``` - [PyPi](https://pypi.org/project/torchvision) (📥 1.5M / month · 📦 4.6K · ⏱️ 25.03.2021): ``` pip install torchvision ``` - [Conda](https://anaconda.org/conda-forge/torchvision) (📥 55K · ⏱️ 22.04.2021): ``` conda install -c conda-forge torchvision ```
scikit-image (🥇34 · ⭐ 4.3K) - Image processing in Python. BSD-2 - [GitHub](https://github.com/scikit-image/scikit-image) (👨‍💻 490 · 🔀 1.8K · 📦 67K · 📋 2.2K - 30% open · ⏱️ 27.04.2021): ``` git clone https://github.com/scikit-image/scikit-image ``` - [PyPi](https://pypi.org/project/scikit-image) (📥 5.1M / month · 📦 15K · ⏱️ 23.12.2020): ``` pip install scikit-image ``` - [Conda](https://anaconda.org/conda-forge/scikit-image) (📥 2.4M · ⏱️ 21.01.2021): ``` conda install -c conda-forge scikit-image ```
imgaug (🥇32 · ⭐ 11K · 💤) - Image augmentation for machine learning experiments. MIT - [GitHub](https://github.com/aleju/imgaug) (👨‍💻 36 · 🔀 2K · 📦 6.1K · 📋 440 - 52% open · ⏱️ 01.06.2020): ``` git clone https://github.com/aleju/imgaug ``` - [PyPi](https://pypi.org/project/imgaug) (📥 270K / month · 📦 560 · ⏱️ 05.02.2020): ``` pip install imgaug ``` - [Conda](https://anaconda.org/conda-forge/imgaug) (📥 39K · ⏱️ 14.02.2020): ``` conda install -c conda-forge imgaug ```
imageio (🥇32 · ⭐ 870) - Python library for reading and writing image data. BSD-2 - [GitHub](https://github.com/imageio/imageio) (👨‍💻 77 · 🔀 180 · 📦 40K · 📋 350 - 19% open · ⏱️ 26.04.2021): ``` git clone https://github.com/imageio/imageio ``` - [PyPi](https://pypi.org/project/imageio) (📥 5.4M / month · 📦 3.8K · ⏱️ 06.07.2020): ``` pip install imageio ``` - [Conda](https://anaconda.org/conda-forge/imageio) (📥 1.9M · ⏱️ 06.07.2020): ``` conda install -c conda-forge imageio ```
opencv-python (🥈31 · ⭐ 1.9K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT - [GitHub](https://github.com/opencv/opencv-python) (👨‍💻 27 · 🔀 360 · 📋 420 - 6% open · ⏱️ 28.12.2020): ``` git clone https://github.com/skvark/opencv-python ``` - [PyPi](https://pypi.org/project/opencv-python) (📥 4.9M / month · 📦 13K · ⏱️ 03.01.2021): ``` pip install opencv-python ```
MoviePy (🥈30 · ⭐ 7.5K) - Video editing with Python. MIT - [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 140 · 🔀 1K · 📦 7.1K · 📋 1.1K - 31% open · ⏱️ 15.04.2021): ``` git clone https://github.com/Zulko/moviepy ``` - [PyPi](https://pypi.org/project/moviepy) (📥 600K / month · 📦 1.1K · ⏱️ 05.10.2020): ``` pip install moviepy ``` - [Conda](https://anaconda.org/conda-forge/moviepy) (📥 79K · ⏱️ 23.02.2020): ``` conda install -c conda-forge moviepy ```
Wand (🥈30 · ⭐ 1.1K) - The ctypes-based simple ImageMagick binding for Python. MIT - [GitHub](https://github.com/emcconville/wand) (👨‍💻 95 · 🔀 180 · 📥 5.2K · 📦 4.2K · 📋 340 - 4% open · ⏱️ 29.03.2021): ``` git clone https://github.com/emcconville/wand ``` - [PyPi](https://pypi.org/project/wand) (📥 280K / month · 📦 1.2K · ⏱️ 28.02.2021): ``` pip install wand ```
Face Recognition (🥈29 · ⭐ 40K · 💤) - The world's simplest facial recognition api for.. MIT - [GitHub](https://github.com/ageitgey/face_recognition) (👨‍💻 45 · 🔀 11K · 📥 440 · 📋 1.1K - 52% open · ⏱️ 26.09.2020): ``` git clone https://github.com/ageitgey/face_recognition ``` - [PyPi](https://pypi.org/project/face_recognition) (📥 51K / month · 📦 410 · ⏱️ 21.08.2018): ``` pip install face_recognition ```
detectron2 (🥈29 · ⭐ 16K) - Detectron2 is FAIR's next-generation platform for object.. Apache-2 - [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 160 · 🔀 4.2K · 📦 220 · 📋 2.4K - 4% open · ⏱️ 29.04.2021): ``` git clone https://github.com/facebookresearch/detectron2 ``` - [Conda](https://anaconda.org/conda-forge/detectron2) (📥 17K · ⏱️ 28.04.2021): ``` conda install -c conda-forge detectron2 ```
Albumentations (🥈29 · ⭐ 7.8K) - Fast image augmentation library and an easy-to-use wrapper.. MIT - [GitHub](https://github.com/albumentations-team/albumentations) (👨‍💻 76 · 🔀 990 · 📦 3.5K · 📋 440 - 41% open · ⏱️ 28.04.2021): ``` git clone https://github.com/albumentations-team/albumentations ``` - [PyPi](https://pypi.org/project/albumentations) (📥 150K / month · 📦 130 · ⏱️ 29.11.2020): ``` pip install albumentations ``` - [Conda](https://anaconda.org/conda-forge/albumentations) (📥 18K · ⏱️ 29.11.2020): ``` conda install -c conda-forge albumentations ```
ImageHash (🥈29 · ⭐ 1.9K) - A Python Perceptual Image Hashing Module. BSD-2 - [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 17 · 🔀 260 · 📦 2.4K · 📋 97 - 22% open · ⏱️ 03.01.2021): ``` git clone https://github.com/JohannesBuchner/imagehash ``` - [PyPi](https://pypi.org/project/ImageHash) (📥 770K / month · 📦 530 · ⏱️ 19.11.2020): ``` pip install ImageHash ``` - [Conda](https://anaconda.org/conda-forge/imagehash) (📥 120K · ⏱️ 19.11.2020): ``` conda install -c conda-forge imagehash ```
PyTorch Image Models (🥈28 · ⭐ 9.2K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 - [GitHub](https://github.com/rwightman/pytorch-image-models) (👨‍💻 41 · 🔀 1.4K · 📥 340K · 📦 490 · 📋 300 - 9% open · ⏱️ 29.04.2021): ``` git clone https://github.com/rwightman/pytorch-image-models ```
GluonCV (🥈28 · ⭐ 4.7K) - Gluon CV Toolkit. Apache-2 - [GitHub](https://github.com/dmlc/gluon-cv) (👨‍💻 110 · 🔀 1.1K · 📦 480 · 📋 760 - 50% open · ⏱️ 12.04.2021): ``` git clone https://github.com/dmlc/gluon-cv ``` - [PyPi](https://pypi.org/project/gluoncv) (📥 82K / month · 📦 30 · ⏱️ 29.04.2021): ``` pip install gluoncv ```
Kornia (🥈28 · ⭐ 3.9K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2 - [GitHub](https://github.com/kornia/kornia) (👨‍💻 95 · 🔀 380 · 📦 350 · 📋 400 - 23% open · ⏱️ 28.04.2021): ``` git clone https://github.com/kornia/kornia ``` - [PyPi](https://pypi.org/project/kornia) (📥 45K / month · ⏱️ 17.03.2021): ``` pip install kornia ```
imutils (🥈28 · ⭐ 3.6K) - A series of convenience functions to make basic image processing.. MIT - [GitHub](https://github.com/jrosebr1/imutils) (👨‍💻 20 · 🔀 890 · 📦 14K · 📋 210 - 63% open · ⏱️ 15.01.2021): ``` git clone https://github.com/jrosebr1/imutils ``` - [PyPi](https://pypi.org/project/imutils) (📥 240K / month · 📦 1.2K · ⏱️ 15.01.2021): ``` pip install imutils ``` - [Conda](https://anaconda.org/conda-forge/imutils) (📥 48K · ⏱️ 15.01.2021): ``` conda install -c conda-forge imutils ```
imageai (🥈27 · ⭐ 6.1K) - A python library built to empower developers to build applications and.. MIT - [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨‍💻 13 · 🔀 1.7K · 📥 570K · 📦 800 · 📋 620 - 33% open · ⏱️ 05.01.2021): ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` - [PyPi](https://pypi.org/project/imageai) (📥 16K / month · 📦 24 · ⏱️ 05.01.2021): ``` pip install imageai ```
InsightFace (🥈26 · ⭐ 9K) - Face Analysis Project on MXNet and PyTorch. MIT - [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 17 · 🔀 3K · 📦 67 · 📋 1.4K - 50% open · ⏱️ 27.04.2021): ``` git clone https://github.com/deepinsight/insightface ``` - [PyPi](https://pypi.org/project/insightface) (📥 3.3K / month · 📦 2 · ⏱️ 07.09.2019): ``` pip install insightface ```
PyTorch3D (🥈26 · ⭐ 4.7K) - PyTorch3D is FAIR's library of reusable components for deep.. MIT - [GitHub](https://github.com/facebookresearch/pytorch3d) (👨‍💻 57 · 🔀 570 · 📦 70 · 📋 560 - 13% open · ⏱️ 28.04.2021): ``` git clone https://github.com/facebookresearch/pytorch3d ``` - [PyPi](https://pypi.org/project/pytorch3d) (📥 8.4K / month · ⏱️ 09.02.2021): ``` pip install pytorch3d ``` - [Conda](https://anaconda.org/pytorch3d/pytorch3d) (📥 9.3K · ⏱️ 09.02.2021): ``` conda install -c pytorch3d pytorch3d ```
facenet-pytorch (🥈26 · ⭐ 2K) - Pretrained Pytorch face detection (MTCNN) and recognition.. MIT - [GitHub](https://github.com/timesler/facenet-pytorch) (👨‍💻 14 · 🔀 440 · 📥 86K · 📦 340 · 📋 120 - 28% open · ⏱️ 27.04.2021): ``` git clone https://github.com/timesler/facenet-pytorch ``` - [PyPi](https://pypi.org/project/facenet-pytorch) (📥 26K / month · 📦 6 · ⏱️ 10.03.2021): ``` pip install facenet-pytorch ```
MMDetection (🥉25 · ⭐ 15K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - [GitHub](https://github.com/open-mmlab/mmdetection) (👨‍💻 210 · 🔀 4.9K · 📦 40 · 📋 3.8K - 9% open · ⏱️ 29.04.2021): ``` git clone https://github.com/open-mmlab/mmdetection ```
mtcnn (🥉25 · ⭐ 1.5K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT - [GitHub](https://github.com/ipazc/mtcnn) (👨‍💻 14 · 🔀 390 · 📦 1K · 📋 91 - 60% open · ⏱️ 13.01.2021): ``` git clone https://github.com/ipazc/mtcnn ``` - [PyPi](https://pypi.org/project/mtcnn) (📥 22K / month · 📦 42 · ⏱️ 14.11.2019): ``` pip install mtcnn ```
Face Alignment (🥉24 · ⭐ 4.9K) - 2D and 3D Face alignment library build using pytorch. BSD-3 - [GitHub](https://github.com/1adrianb/face-alignment) (👨‍💻 22 · 🔀 1K · 📋 240 - 16% open · ⏱️ 28.04.2021): ``` git clone https://github.com/1adrianb/face-alignment ``` - [PyPi](https://pypi.org/project/face-alignment) (📥 7K / month · 📦 12 · ⏱️ 28.04.2021): ``` pip install face-alignment ```
mahotas (🥉24 · ⭐ 680) - Computer Vision in Python. MIT - [GitHub](https://github.com/luispedro/mahotas) (👨‍💻 30 · 🔀 130 · 📦 620 · 📋 73 - 21% open · ⏱️ 13.01.2021): ``` git clone https://github.com/luispedro/mahotas ``` - [PyPi](https://pypi.org/project/mahotas) (📥 31K / month · 📦 190 · ⏱️ 16.08.2020): ``` pip install mahotas ``` - [Conda](https://anaconda.org/conda-forge/mahotas) (📥 270K · ⏱️ 22.01.2021): ``` conda install -c conda-forge mahotas ```
pyvips (🥉24 · ⭐ 310) - python binding for libvips using cffi. MIT - [GitHub](https://github.com/libvips/pyvips) (👨‍💻 10 · 🔀 26 · 📦 180 · 📋 220 - 33% open · ⏱️ 24.02.2021): ``` git clone https://github.com/libvips/pyvips ``` - [PyPi](https://pypi.org/project/pyvips) (📥 11K / month · 📦 22 · ⏱️ 18.12.2020): ``` pip install pyvips ``` - [Conda](https://anaconda.org/conda-forge/pyvips) (📥 8.4K · ⏱️ 14.10.2020): ``` conda install -c conda-forge pyvips ```
Image Deduplicator (🥉23 · ⭐ 3.5K) - Finding duplicate images made easy!. Apache-2 - [GitHub](https://github.com/idealo/imagededup) (👨‍💻 9 · 🔀 290 · 📦 11 · 📋 77 - 25% open · ⏱️ 23.11.2020): ``` git clone https://github.com/idealo/imagededup ``` - [PyPi](https://pypi.org/project/imagededup) (📥 2.3K / month · 📦 2 · ⏱️ 22.11.2020): ``` pip install imagededup ```
segmentation_models (🥉23 · ⭐ 3.1K · 💤) - Segmentation models with pretrained backbones. Keras.. MIT - [GitHub](https://github.com/qubvel/segmentation_models) (👨‍💻 14 · 🔀 730 · 📋 400 - 40% open · ⏱️ 17.04.2020): ``` git clone https://github.com/qubvel/segmentation_models ``` - [PyPi](https://pypi.org/project/segmentation_models) (📥 18K / month · 📦 24 · ⏱️ 10.01.2020): ``` pip install segmentation_models ```
CellProfiler (🥉23 · ⭐ 560) - An open-source application for biological image analysis. BSD-3 - [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 120 · 🔀 270 · 📥 910 · 📦 4 · 📋 3K - 5% open · ⏱️ 16.04.2021): ``` git clone https://github.com/CellProfiler/CellProfiler ``` - [PyPi](https://pypi.org/project/cellprofiler) (📥 710 / month · ⏱️ 04.09.2017): ``` pip install cellprofiler ```
Image Super-Resolution (🥉22 · ⭐ 2.7K) - Super-scale your images and run experiments with.. Apache-2 - [GitHub](https://github.com/idealo/image-super-resolution) (👨‍💻 9 · 🔀 510 · 📦 47 · 📋 170 - 39% open · ⏱️ 11.11.2020): ``` git clone https://github.com/idealo/image-super-resolution ``` - [PyPi](https://pypi.org/project/ISR) (📥 5K / month · 📦 8 · ⏱️ 08.01.2020): ``` pip install ISR ``` - [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 140 · ⏱️ 01.04.2019): ``` docker pull idealo/image-super-resolution-gpu ```
tensorflow-graphics (🥉22 · ⭐ 2.4K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - [GitHub](https://github.com/tensorflow/graphics) (👨‍💻 32 · 🔀 290 · 📦 1 · 📋 190 - 55% open · ⏱️ 19.04.2021): ``` git clone https://github.com/tensorflow/graphics ``` - [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 2.8K / month · 📦 3 · ⏱️ 20.05.2020): ``` pip install tensorflow-graphics ```
vidgear (🥉22 · ⭐ 1.7K) - High-performance cross-platform Video Processing Python framework.. Apache-2 - [GitHub](https://github.com/abhiTronix/vidgear) (👨‍💻 6 · 🔀 120 · 📥 340 · 📦 100 · 📋 140 - 2% open · ⏱️ 25.04.2021): ``` git clone https://github.com/abhiTronix/vidgear ``` - [PyPi](https://pypi.org/project/vidgear) (📥 2.2K / month · 📦 2 · ⏱️ 01.01.2021): ``` pip install vidgear ```
Torch Points 3D (🥉22 · ⭐ 1.2K) - Pytorch framework for doing deep learning on point clouds. BSD-3 - [GitHub](https://github.com/nicolas-chaulet/torch-points3d) (👨‍💻 21 · 🔀 180 · 📦 2 · 📋 230 - 22% open · ⏱️ 21.04.2021): ``` git clone https://github.com/nicolas-chaulet/torch-points3d ``` - [PyPi](https://pypi.org/project/torch-points3d) (📥 560 / month · ⏱️ 18.12.2020): ``` pip install torch-points3d ```
MMF (🥉21 · ⭐ 4.3K) - A modular framework for vision & language multimodal research from.. BSD-3 - [GitHub](https://github.com/facebookresearch/mmf) (👨‍💻 62 · 🔀 650 · 📦 7 · 📋 490 - 23% open · ⏱️ 29.04.2021): ``` git clone https://github.com/facebookresearch/mmf ``` - [PyPi](https://pypi.org/project/mmf) (📥 800 / month · ⏱️ 12.06.2020): ``` pip install mmf ```
vit-pytorch (🥉21 · ⭐ 3.9K · 🐣) - Implementation of Vision Transformer, a simple way to.. MIT - [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 6 · 🔀 440 · 📦 13 · 📋 91 - 40% open · ⏱️ 27.04.2021): ``` git clone https://github.com/lucidrains/vit-pytorch ``` - [PyPi](https://pypi.org/project/vit-pytorch) (📥 3.7K / month · ⏱️ 27.04.2021): ``` pip install vit-pytorch ```
Classy Vision (🥉21 · ⭐ 1.2K) - An end-to-end PyTorch framework for image and video.. MIT - [GitHub](https://github.com/facebookresearch/ClassyVision) (👨‍💻 61 · 🔀 220 · 📋 100 - 50% open · ⏱️ 29.04.2021): ``` git clone https://github.com/facebookresearch/ClassyVision ``` - [PyPi](https://pypi.org/project/classy_vision) (📥 420 / month · ⏱️ 20.11.2020): ``` pip install classy_vision ``` - [Conda](https://anaconda.org/conda-forge/classy_vision) (📥 7.1K · ⏱️ 11.12.2020): ``` conda install -c conda-forge classy_vision ```
nude.py (🥉21 · ⭐ 800) - Nudity detection with Python. MIT - [GitHub](https://github.com/hhatto/nude.py) (👨‍💻 12 · 🔀 130 · 📦 190 · 📋 8 - 75% open · ⏱️ 23.11.2020): ``` git clone https://github.com/hhatto/nude.py ``` - [PyPi](https://pypi.org/project/nudepy) (📥 1.7K / month · 📦 18 · ⏱️ 23.11.2020): ``` pip install nudepy ```
lightly (🥉21 · ⭐ 780 · 🐣) - A python library for self-supervised learning on images. MIT - [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 9 · 🔀 45 · 📦 11 · 📋 150 - 25% open · ⏱️ 29.04.2021): ``` git clone https://github.com/lightly-ai/lightly ``` - [PyPi](https://pypi.org/project/lightly) (📥 3.4K / month · ⏱️ 29.04.2021): ``` pip install lightly ```
Caer (🥉21 · ⭐ 480) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - [GitHub](https://github.com/jasmcaus/caer) (👨‍💻 6 · 🔀 62 · 📥 14 · 📋 14 - 35% open · ⏱️ 28.04.2021): ``` git clone https://github.com/jasmcaus/caer ``` - [PyPi](https://pypi.org/project/caer) (📥 23K / month · ⏱️ 28.01.2021): ``` pip install caer ```
PaddleDetection (🥉20 · ⭐ 2.8K) - Object detection and instance segmentation toolkit.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 54 · 🔀 770 · 📦 5 · 📋 1.5K - 20% open · ⏱️ 29.04.2021): ``` git clone https://github.com/PaddlePaddle/PaddleDetection ```
image-match (🥉20 · ⭐ 2.6K) - Quickly search over billions of images. Apache-2 - [GitHub](https://github.com/EdjoLabs/image-match) (👨‍💻 17 · 🔀 370 · 📋 100 - 52% open · ⏱️ 04.01.2021): ``` git clone https://github.com/EdjoLabs/image-match ``` - [PyPi](https://pypi.org/project/image_match) (📥 1.2K / month · 📦 6 · ⏱️ 13.02.2017): ``` pip install image_match ```
Norfair (🥉18 · ⭐ 980) - Lightweight Python library for adding real-time 2D object tracking to.. BSD-3 - [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 8 · 🔀 65 · 📋 22 - 22% open · ⏱️ 16.03.2021): ``` git clone https://github.com/tryolabs/norfair ``` - [PyPi](https://pypi.org/project/norfair) (📥 840 / month · ⏱️ 17.02.2021): ``` pip install norfair ```
pycls (🥉15 · ⭐ 1.5K) - Codebase for Image Classification Research, written in PyTorch. MIT - [GitHub](https://github.com/facebookresearch/pycls) (👨‍💻 10 · 🔀 170 · 📦 3 · 📋 59 - 25% open · ⏱️ 27.03.2021): ``` git clone https://github.com/facebookresearch/pycls ```
DE⫶TR (🥉14 · ⭐ 6.8K) - End-to-End Object Detection with Transformers. Apache-2 - [GitHub](https://github.com/facebookresearch/detr) (👨‍💻 19 · 🔀 1.1K · 📋 310 - 24% open · ⏱️ 15.11.2020): ``` git clone https://github.com/facebookresearch/detr ```
PySlowFast (🥉14 · ⭐ 3.6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 - [GitHub](https://github.com/facebookresearch/SlowFast) (👨‍💻 20 · 🔀 680 · 📦 2 · 📋 380 - 49% open · ⏱️ 23.04.2021): ``` git clone https://github.com/facebookresearch/SlowFast ```
Show 5 hidden projects... - glfw (🥈30 · ⭐ 7.6K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Augmentor (🥉25 · ⭐ 4.4K · 💀) - Image augmentation library in Python for machine learning. MIT - chainercv (🥉25 · ⭐ 1.4K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Pillow-SIMD (🥉23 · ⭐ 1.6K · 💤) - The friendly PIL fork. ❗️PIL - Luminoth (🥉21 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. BSD-3

## Graph Data Back to top _Libraries for graph processing, clustering, embedding, and machine learning tasks._
networkx (🥇35 · ⭐ 9K) - Network Analysis in Python. BSD-3 - [GitHub](https://github.com/networkx/networkx) (👨‍💻 510 · 🔀 2.3K · 📥 51 · 📦 73K · 📋 2.6K - 10% open · ⏱️ 26.04.2021): ``` git clone https://github.com/networkx/networkx ``` - [PyPi](https://pypi.org/project/networkx) (📥 13M / month · 📦 21K · ⏱️ 03.04.2021): ``` pip install networkx ``` - [Conda](https://anaconda.org/conda-forge/networkx) (📥 3.5M · ⏱️ 04.04.2021): ``` conda install -c conda-forge networkx ```
PyTorch Geometric (🥇29 · ⭐ 11K) - Geometric Deep Learning Extension Library for PyTorch. MIT - [GitHub](https://github.com/rusty1s/pytorch_geometric) (👨‍💻 160 · 🔀 1.8K · 📋 2K - 38% open · ⏱️ 29.04.2021): ``` git clone https://github.com/rusty1s/pytorch_geometric ``` - [PyPi](https://pypi.org/project/torch-geometric) (📥 37K / month · 📦 24 · ⏱️ 02.12.2020): ``` pip install torch-geometric ```
dgl (🥈27 · ⭐ 7.2K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2 - [GitHub](https://github.com/dmlc/dgl) (👨‍💻 120 · 🔀 1.5K · 📋 1K - 23% open · ⏱️ 29.04.2021): ``` git clone https://github.com/dmlc/dgl ``` - [PyPi](https://pypi.org/project/dgl) (📥 37K / month · 📦 30 · ⏱️ 29.04.2021): ``` pip install dgl ```
StellarGraph (🥈25 · ⭐ 1.9K) - StellarGraph - Machine Learning on Graphs. Apache-2 - [GitHub](https://github.com/stellargraph/stellargraph) (👨‍💻 32 · 🔀 270 · 📦 61 · 📋 940 - 24% open · ⏱️ 18.02.2021): ``` git clone https://github.com/stellargraph/stellargraph ``` - [PyPi](https://pypi.org/project/stellargraph) (📥 6.2K / month · 📦 4 · ⏱️ 30.06.2020): ``` pip install stellargraph ```
Spektral (🥈24 · ⭐ 1.7K) - Graph Neural Networks with Keras and Tensorflow 2. MIT - [GitHub](https://github.com/danielegrattarola/spektral) (👨‍💻 16 · 🔀 220 · 📦 46 · 📋 140 - 15% open · ⏱️ 24.03.2021): ``` git clone https://github.com/danielegrattarola/spektral ``` - [PyPi](https://pypi.org/project/spektral) (📥 3.5K / month · ⏱️ 20.03.2021): ``` pip install spektral ```
ogb (🥈23 · ⭐ 910) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT - [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 14 · 🔀 170 · 📦 83 · 📋 130 - 2% open · ⏱️ 27.04.2021): ``` git clone https://github.com/snap-stanford/ogb ``` - [PyPi](https://pypi.org/project/ogb) (📥 6.6K / month · ⏱️ 07.04.2021): ``` pip install ogb ```
Node2Vec (🥈23 · ⭐ 680) - Implementation of the node2vec algorithm. MIT - [GitHub](https://github.com/eliorc/node2vec) (👨‍💻 8 · 🔀 180 · 📦 130 · 📋 57 - 5% open · ⏱️ 16.04.2021): ``` git clone https://github.com/eliorc/node2vec ``` - [PyPi](https://pypi.org/project/node2vec) (📥 11K / month · 📦 10 · ⏱️ 02.04.2021): ``` pip install node2vec ``` - [Conda](https://anaconda.org/conda-forge/node2vec) (📥 17K · ⏱️ 25.04.2020): ``` conda install -c conda-forge node2vec ```
torch-cluster (🥈22 · ⭐ 360) - PyTorch Extension Library of Optimized Graph Cluster.. MIT - [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 18 · 🔀 71 · 📋 79 - 48% open · ⏱️ 06.03.2021): ``` git clone https://github.com/rusty1s/pytorch_cluster ``` - [PyPi](https://pypi.org/project/torch-cluster) (📥 9.9K / month · 📦 32 · ⏱️ 01.03.2021): ``` pip install torch-cluster ```
AmpliGraph (🥈21 · ⭐ 1.5K · 💤) - Python library for Representation Learning on Knowledge.. Apache-2 - [GitHub](https://github.com/Accenture/AmpliGraph) (👨‍💻 14 · 🔀 160 · 📦 13 · 📋 180 - 12% open · ⏱️ 25.08.2020): ``` git clone https://github.com/Accenture/AmpliGraph ``` - [PyPi](https://pypi.org/project/ampligraph) (📥 1.4K / month · ⏱️ 25.08.2020): ``` pip install ampligraph ```
graph-nets (🥉19 · ⭐ 4.9K) - Build Graph Nets in Tensorflow. Apache-2 - [GitHub](https://github.com/deepmind/graph_nets) (👨‍💻 10 · 🔀 730 · 📋 120 - 6% open · ⏱️ 04.12.2020): ``` git clone https://github.com/deepmind/graph_nets ``` - [PyPi](https://pypi.org/project/graph-nets) (📥 1.1K / month · 📦 7 · ⏱️ 29.01.2020): ``` pip install graph-nets ```
PyTorch-BigGraph (🥉19 · ⭐ 2.8K) - Generate embeddings from large-scale graph-structured.. BSD-3 - [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨‍💻 20 · 🔀 370 · 📥 110 · 📋 140 - 28% open · ⏱️ 29.03.2021): ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` - [PyPi](https://pypi.org/project/torchbiggraph) (📥 790 / month · 📦 4 · ⏱️ 01.05.2019): ``` pip install torchbiggraph ```
PyKEEN (🥉19 · ⭐ 390) - A Python library for learning and evaluating knowledge graph embeddings. MIT - [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 18 · 🔀 63 · 📥 79 · 📋 170 - 35% open · ⏱️ 28.04.2021): ``` git clone https://github.com/pykeen/pykeen ``` - [PyPi](https://pypi.org/project/pykeen) (📥 810 / month · 📦 2 · ⏱️ 15.02.2021): ``` pip install pykeen ```
Paddle Graph Learning (🥉18 · ⭐ 990) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PGL) (👨‍💻 16 · 🔀 140 · 📦 11 · 📋 62 - 40% open · ⏱️ 25.04.2021): ``` git clone https://github.com/PaddlePaddle/PGL ``` - [PyPi](https://pypi.org/project/pgl) (📥 1.1K / month · 📦 2 · ⏱️ 25.04.2021): ``` pip install pgl ```
pytorch_geometric_temporal (🥉18 · ⭐ 660) - A Temporal Extension Library for PyTorch Geometric. MIT - [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 9 · 🔀 81 · 📋 27 - 7% open · ⏱️ 28.04.2021): ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` - [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 780 / month · ⏱️ 25.04.2021): ``` pip install torch-geometric-temporal ```
Euler (🥉16 · ⭐ 2.5K · 💤) - A distributed graph deep learning framework. Apache-2 - [GitHub](https://github.com/alibaba/euler) (👨‍💻 5 · 🔀 520 · 📋 310 - 67% open · ⏱️ 29.07.2020): ``` git clone https://github.com/alibaba/euler ``` - [PyPi](https://pypi.org/project/euler-gl) (📥 26 / month · ⏱️ 10.04.2019): ``` pip install euler-gl ```
kglib (🥉16 · ⭐ 420) - Grakn Knowledge Graph Library (ML R&D). Apache-2 - [GitHub](https://github.com/vaticle/kglib) (👨‍💻 7 · 🔀 77 · 📥 210 · 📋 59 - 16% open · ⏱️ 15.01.2021): ``` git clone https://github.com/graknlabs/kglib ``` - [PyPi](https://pypi.org/project/grakn-kglib) (📥 150 / month · ⏱️ 19.08.2020): ``` pip install grakn-kglib ```
DeepGraph (🥉16 · ⭐ 230) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - [GitHub](https://github.com/deepgraph/deepgraph) (👨‍💻 2 · 🔀 35 · 📦 1 · 📋 12 - 58% open · ⏱️ 01.10.2020): ``` git clone https://github.com/deepgraph/deepgraph ``` - [PyPi](https://pypi.org/project/deepgraph) (📥 420 / month · ⏱️ 01.10.2020): ``` pip install deepgraph ``` - [Conda](https://anaconda.org/conda-forge/deepgraph) (📥 91K · ⏱️ 15.01.2021): ``` conda install -c conda-forge deepgraph ```
GraphEmbedding (🥉15 · ⭐ 1.9K) - Implementation and experiments of graph embedding algorithms. MIT - [GitHub](https://github.com/shenweichen/GraphEmbedding) (👨‍💻 8 · 🔀 590 · 📦 7 · 📋 41 - 68% open · ⏱️ 18.10.2020): ``` git clone https://github.com/shenweichen/GraphEmbedding ```
OpenKE (🥉14 · ⭐ 2.5K) - An Open-Source Package for Knowledge Embedding (KE). MIT - [GitHub](https://github.com/thunlp/OpenKE) (👨‍💻 10 · 🔀 780 · 📋 290 - 21% open · ⏱️ 06.04.2021): ``` git clone https://github.com/thunlp/OpenKE ```
AutoGL (🥉14 · ⭐ 630 · 🐣) - An autoML framework & toolkit for machine learning on graphs. MIT - [GitHub](https://github.com/THUMNLab/AutoGL) (👨‍💻 5 · 🔀 63 · 📋 9 - 55% open · ⏱️ 10.04.2021): ``` git clone https://github.com/THUMNLab/AutoGL ``` - [PyPi](https://pypi.org/project/auto-graph-learning) (📥 94 / month · ⏱️ 23.12.2020): ``` pip install auto-graph-learning ```
GraphVite (🥉12 · ⭐ 900) - GraphVite: A General and High-performance Graph Embedding System. Apache-2 - [GitHub](https://github.com/DeepGraphLearning/graphvite) (👨‍💻 1 · 🔀 120 · 📋 84 - 34% open · ⏱️ 14.01.2021): ``` git clone https://github.com/DeepGraphLearning/graphvite ``` - [Conda](https://anaconda.org/milagraph/graphvite) (📥 3.7K · ⏱️ 19.03.2020): ``` conda install -c milagraph graphvite ```
Show 8 hidden projects... - igraph (🥇28 · ⭐ 810) - Python interface for igraph. ❗️GPL-2.0 - pygal (🥈27 · ⭐ 2.3K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Karate Club (🥈22 · ⭐ 1.2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 - DeepWalk (🥉20 · ⭐ 2.2K · 💤) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - Sematch (🥉17 · ⭐ 350 · 💀) - semantic similarity framework for knowledge graph. Apache-2 - pyRDF2Vec (🥉16 · ⭐ 100) - Python Implementation and Extension of RDF2Vec. MIT - GraphSAGE (🥉14 · ⭐ 2.3K · 💀) - Representation learning on large graphs using stochastic.. MIT - OpenNE (🥉14 · ⭐ 1.5K · 💀) - An Open-Source Package for Network Embedding (NE). MIT

## Audio Data Back to top _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
Pydub (🥇31 · ⭐ 5.3K) - Manipulate audio with a simple and easy high level interface. MIT - [GitHub](https://github.com/jiaaro/pydub) (👨‍💻 90 · 🔀 710 · 📦 6.8K · 📋 420 - 42% open · ⏱️ 21.04.2021): ``` git clone https://github.com/jiaaro/pydub ``` - [PyPi](https://pypi.org/project/pydub) (📥 750K / month · 📦 1.4K · ⏱️ 10.03.2021): ``` pip install pydub ``` - [Conda](https://anaconda.org/conda-forge/pydub) (📥 15K · ⏱️ 13.03.2021): ``` conda install -c conda-forge pydub ```
Magenta (🥇30 · ⭐ 17K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 - [GitHub](https://github.com/magenta/magenta) (👨‍💻 150 · 🔀 3.4K · 📦 290 · 📋 850 - 35% open · ⏱️ 19.04.2021): ``` git clone https://github.com/magenta/magenta ``` - [PyPi](https://pypi.org/project/magenta) (📥 6.3K / month · 📦 70 · ⏱️ 12.11.2020): ``` pip install magenta ```
torchaudio (🥈29 · ⭐ 1.3K) - Data manipulation and transformation for audio signal.. BSD-2 - [GitHub](https://github.com/pytorch/audio) (👨‍💻 120 · 🔀 300 · 📦 2.6K · 📋 460 - 32% open · ⏱️ 26.04.2021): ``` git clone https://github.com/pytorch/audio ``` - [PyPi](https://pypi.org/project/torchaudio) (📥 210K / month · 📦 18 · ⏱️ 25.03.2021): ``` pip install torchaudio ```
librosa (🥈28 · ⭐ 4.4K) - Python library for audio and music analysis. ISC - [GitHub](https://github.com/librosa/librosa) (👨‍💻 84 · 🔀 720 · 📦 11K · 📋 870 - 8% open · ⏱️ 14.04.2021): ``` git clone https://github.com/librosa/librosa ``` - [PyPi](https://pypi.org/project/librosa) (📥 520K / month · 📦 1.8K · ⏱️ 22.07.2020): ``` pip install librosa ``` - [Conda](https://anaconda.org/conda-forge/librosa) (📥 270K · ⏱️ 22.07.2020): ``` conda install -c conda-forge librosa ```
audioread (🥈27 · ⭐ 360) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT - [GitHub](https://github.com/beetbox/audioread) (👨‍💻 20 · 🔀 83 · 📦 4.8K · 📋 75 - 41% open · ⏱️ 20.10.2020): ``` git clone https://github.com/beetbox/audioread ``` - [PyPi](https://pypi.org/project/audioread) (📥 510K / month · 📦 590 · ⏱️ 20.10.2020): ``` pip install audioread ``` - [Conda](https://anaconda.org/conda-forge/audioread) (📥 220K · ⏱️ 16.03.2021): ``` conda install -c conda-forge audioread ```
DeepSpeech (🥈26 · ⭐ 17K · 📉) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 - [GitHub](https://github.com/mozilla/DeepSpeech) (👨‍💻 93 · 🔀 3.1K): ``` git clone https://github.com/mozilla/DeepSpeech ``` - [PyPi](https://pypi.org/project/deepspeech) (📥 17K / month · 📦 58 · ⏱️ 19.12.2020): ``` pip install deepspeech ```
pyAudioAnalysis (🥈26 · ⭐ 3.9K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨‍💻 23 · 🔀 960 · 📦 200 · 📋 270 - 60% open · ⏱️ 20.04.2021): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` - [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 15K / month · 📦 22 · ⏱️ 29.09.2020): ``` pip install pyAudioAnalysis ```
espnet (🥈26 · ⭐ 3.7K) - End-to-End Speech Processing Toolkit. Apache-2 - [GitHub](https://github.com/espnet/espnet) (👨‍💻 150 · 🔀 1.1K · 📥 61 · 📦 7 · 📋 1.3K - 12% open · ⏱️ 26.04.2021): ``` git clone https://github.com/espnet/espnet ``` - [PyPi](https://pypi.org/project/espnet) (📥 2.5K / month · ⏱️ 07.04.2021): ``` pip install espnet ```
spleeter (🥉25 · ⭐ 16K) - Deezer source separation library including pretrained models. MIT - [GitHub](https://github.com/deezer/spleeter) (👨‍💻 17 · 🔀 1.7K · 📥 1M · 📋 540 - 15% open · ⏱️ 15.04.2021): ``` git clone https://github.com/deezer/spleeter ``` - [PyPi](https://pypi.org/project/spleeter) (📥 11K / month · ⏱️ 15.04.2021): ``` pip install spleeter ``` - [Conda](https://anaconda.org/conda-forge/spleeter) (📥 50K · ⏱️ 30.06.2020): ``` conda install -c conda-forge spleeter ```
python-soundfile (🥉25 · ⭐ 380) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 - [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 19 · 🔀 43 · 📥 2.3K · 📦 6.6K · 📋 150 - 38% open · ⏱️ 01.12.2020): ``` git clone https://github.com/bastibe/python-soundfile ``` - [PyPi](https://pypi.org/project/soundfile) (📥 670K / month · 📦 740 · ⏱️ 27.11.2019): ``` pip install soundfile ```
python_speech_features (🥉24 · ⭐ 1.9K) - This library provides common speech features for ASR.. MIT - [GitHub](https://github.com/jameslyons/python_speech_features) (👨‍💻 18 · 🔀 550 · 📋 72 - 31% open · ⏱️ 31.12.2020): ``` git clone https://github.com/jameslyons/python_speech_features ``` - [PyPi](https://pypi.org/project/python_speech_features) (📥 83K / month · 📦 300 · ⏱️ 16.08.2017): ``` pip install python_speech_features ```
DDSP (🥉24 · ⭐ 1.8K) - DDSP: Differentiable Digital Signal Processing. Apache-2 - [GitHub](https://github.com/magenta/ddsp) (👨‍💻 25 · 🔀 180 · 📦 11 · 📋 110 - 13% open · ⏱️ 08.04.2021): ``` git clone https://github.com/magenta/ddsp ``` - [PyPi](https://pypi.org/project/ddsp) (📥 2.1K / month · ⏱️ 08.04.2021): ``` pip install ddsp ```
Porcupine (🥉23 · ⭐ 2.4K) - On-device wake word detection powered by deep learning. Apache-2 - [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 27 · 🔀 340 · 📦 5 · 📋 300 - 2% open · ⏱️ 28.04.2021): ``` git clone https://github.com/Picovoice/Porcupine ``` - [PyPi](https://pypi.org/project/pvporcupine) (📥 1.6K / month · ⏱️ 14.04.2021): ``` pip install pvporcupine ```
tinytag (🥉23 · ⭐ 450) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and.. MIT - [GitHub](https://github.com/devsnd/tinytag) (👨‍💻 18 · 🔀 82 · 📦 340 · 📋 80 - 20% open · ⏱️ 28.03.2021): ``` git clone https://github.com/devsnd/tinytag ``` - [PyPi](https://pypi.org/project/tinytag) (📥 5.2K / month · 📦 96 · ⏱️ 05.11.2020): ``` pip install tinytag ```
kapre (🥉22 · ⭐ 730) - kapre: Keras Audio Preprocessors. MIT - [GitHub](https://github.com/keunwoochoi/kapre) (👨‍💻 13 · 🔀 130 · 📥 10 · 📦 700 · 📋 86 - 6% open · ⏱️ 25.03.2021): ``` git clone https://github.com/keunwoochoi/kapre ``` - [PyPi](https://pypi.org/project/kapre) (📥 2.4K / month · 📦 22 · ⏱️ 29.09.2020): ``` pip install kapre ```
Dejavu (🥉21 · ⭐ 5.4K · 💤) - Audio fingerprinting and recognition in Python. MIT - [GitHub](https://github.com/worldveil/dejavu) (👨‍💻 23 · 🔀 1.2K · 📦 18 · 📋 210 - 39% open · ⏱️ 03.06.2020): ``` git clone https://github.com/worldveil/dejavu ``` - [PyPi](https://pypi.org/project/PyDejavu) (📥 170 / month · 📦 3 · ⏱️ 19.04.2015): ``` pip install PyDejavu ```
TTS (🥉21 · ⭐ 4.6K) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - [GitHub](https://github.com/mozilla/TTS) (👨‍💻 55 · 🔀 730 · 📥 530 · 📋 490 - 6% open · ⏱️ 12.02.2021): ``` git clone https://github.com/mozilla/TTS ```
Muda (🥉18 · ⭐ 180 · 💤) - A library for augmenting annotated audio data. ISC - [GitHub](https://github.com/bmcfee/muda) (👨‍💻 6 · 🔀 32 · 📦 9 · 📋 49 - 10% open · ⏱️ 20.07.2020): ``` git clone https://github.com/bmcfee/muda ``` - [PyPi](https://pypi.org/project/muda) (📥 290 / month · 📦 1 · ⏱️ 15.11.2019): ``` pip install muda ```
Julius (🥉17 · ⭐ 180 · 🐣) - Fast PyTorch based DSP for audio and 1D signals. MIT - [GitHub](https://github.com/adefossez/julius) (👨‍💻 2 · 🔀 6 · 📦 12 · 📋 5 - 20% open · ⏱️ 26.04.2021): ``` git clone https://github.com/adefossez/julius ``` - [PyPi](https://pypi.org/project/julius) (📥 2.5K / month · ⏱️ 03.03.2021): ``` pip install julius ```
Show 4 hidden projects... - SpeechRecognition (🥇30 · ⭐ 5.6K · 💀) - Speech recognition module for Python, supporting.. BSD-3 - aubio (🥈26 · ⭐ 2.1K) - a library for audio and music analysis. ❗️GPL-3.0 - Essentia (🥉24 · ⭐ 1.8K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - Madmom (🥉21 · ⭐ 740 · 💀) - Python audio and music signal processing library. BSD-3

## Geospatial Data Back to top _Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._
pydeck (🥇34 · ⭐ 8.6K · 📈) - WebGL2 powered geospatial visualization layers. MIT - [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 160 · 🔀 1.5K · 📦 1.5K · 📋 2.1K - 3% open · ⏱️ 29.04.2021): ``` git clone https://github.com/visgl/deck.gl ``` - [PyPi](https://pypi.org/project/pydeck) (📥 220K / month · 📦 2 · ⏱️ 13.04.2021): ``` pip install pydeck ``` - [Conda](https://anaconda.org/conda-forge/pydeck) (📥 27K · ⏱️ 13.04.2021): ``` conda install -c conda-forge pydeck ``` - [NPM](https://www.npmjs.com/package/deck.gl) (📥 220K / month · 📦 560 · ⏱️ 22.03.2021): ``` npm install deck.gl ```
Shapely (🥇34 · ⭐ 2.2K) - Manipulation and analysis of geometric objects. BSD-3 - [GitHub](https://github.com/Toblerity/Shapely) (👨‍💻 110 · 🔀 400 · 📦 18K · 📋 740 - 16% open · ⏱️ 27.04.2021): ``` git clone https://github.com/Toblerity/Shapely ``` - [PyPi](https://pypi.org/project/shapely) (📥 4M / month · 📦 5.5K · ⏱️ 04.03.2021): ``` pip install shapely ``` - [Conda](https://anaconda.org/conda-forge/shapely) (📥 2.3M · ⏱️ 05.03.2021): ``` conda install -c conda-forge shapely ```
geopy (🥇33 · ⭐ 3.3K) - Geocoding library for Python. MIT - [GitHub](https://github.com/geopy/geopy) (👨‍💻 120 · 🔀 540 · 📦 20K · 📋 250 - 10% open · ⏱️ 17.04.2021): ``` git clone https://github.com/geopy/geopy ``` - [PyPi](https://pypi.org/project/geopy) (📥 4.4M / month · 📦 7.2K · ⏱️ 27.12.2020): ``` pip install geopy ``` - [Conda](https://anaconda.org/conda-forge/geopy) (📥 540K · ⏱️ 27.12.2020): ``` conda install -c conda-forge geopy ```
folium (🥈32 · ⭐ 5.2K) - Python Data. Leaflet.js Maps. MIT - [GitHub](https://github.com/python-visualization/folium) (👨‍💻 120 · 🔀 1.9K · 📦 9.7K · 📋 850 - 18% open · ⏱️ 09.03.2021): ``` git clone https://github.com/python-visualization/folium ``` - [PyPi](https://pypi.org/project/folium) (📥 420K / month · 📦 970 · ⏱️ 18.01.2021): ``` pip install folium ``` - [Conda](https://anaconda.org/conda-forge/folium) (📥 350K · ⏱️ 12.03.2021): ``` conda install -c conda-forge folium ```
GeoPandas (🥈32 · ⭐ 2.6K) - Python tools for geographic data. BSD-3 - [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 140 · 🔀 560 · 📥 990 · 📦 8.2K · 📋 1K - 29% open · ⏱️ 29.04.2021): ``` git clone https://github.com/geopandas/geopandas ``` - [PyPi](https://pypi.org/project/geopandas) (📥 1M / month · 📦 1.2K · ⏱️ 28.02.2021): ``` pip install geopandas ``` - [Conda](https://anaconda.org/conda-forge/geopandas) (📥 960K · ⏱️ 01.03.2021): ``` conda install -c conda-forge geopandas ```
Rasterio (🥈32 · ⭐ 1.5K) - Rasterio reads and writes geospatial raster datasets. BSD-3 - [GitHub](https://github.com/mapbox/rasterio) (👨‍💻 110 · 🔀 400 · 📥 700 · 📦 3.1K · 📋 1.4K - 10% open · ⏱️ 28.04.2021): ``` git clone https://github.com/mapbox/rasterio ``` - [PyPi](https://pypi.org/project/rasterio) (📥 460K / month · 📦 850 · ⏱️ 27.04.2021): ``` pip install rasterio ``` - [Conda](https://anaconda.org/conda-forge/rasterio) (📥 1M · ⏱️ 07.04.2021): ``` conda install -c conda-forge rasterio ```
pyproj (🥈31 · ⭐ 600) - Python interface to PROJ (cartographic projections and coordinate.. MIT - [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 40 · 🔀 150 · 📦 9.4K · 📋 410 - 2% open · ⏱️ 29.04.2021): ``` git clone https://github.com/pyproj4/pyproj ``` - [PyPi](https://pypi.org/project/pyproj) (📥 2.4M / month · 📦 2.5K · ⏱️ 05.11.2020): ``` pip install pyproj ``` - [Conda](https://anaconda.org/conda-forge/pyproj) (📥 2.1M · ⏱️ 05.03.2021): ``` conda install -c conda-forge pyproj ```
Fiona (🥈30 · ⭐ 800) - Fiona reads and writes geographic data files. BSD-3 - [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 65 · 🔀 170 · 📦 5.6K · 📋 640 - 12% open · ⏱️ 25.04.2021): ``` git clone https://github.com/Toblerity/Fiona ``` - [PyPi](https://pypi.org/project/fiona) (📥 1.3M / month · 📦 1.2K · ⏱️ 07.04.2021): ``` pip install fiona ``` - [Conda](https://anaconda.org/conda-forge/fiona) (📥 1.9M · ⏱️ 08.04.2021): ``` conda install -c conda-forge fiona ```
ipyleaflet (🥉29 · ⭐ 1.1K) - A Jupyter - Leaflet.js bridge. MIT - [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 64 · 🔀 290 · 📦 820 · 📋 410 - 37% open · ⏱️ 12.04.2021): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` - [PyPi](https://pypi.org/project/ipyleaflet) (📥 39K / month · 📦 98 · ⏱️ 05.01.2021): ``` pip install ipyleaflet ``` - [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 660K · ⏱️ 16.01.2021): ``` conda install -c conda-forge ipyleaflet ``` - [NPM](https://www.npmjs.com/package/jupyter-leaflet) (📥 21K / month · 📦 2 · ⏱️ 05.01.2021): ``` npm install jupyter-leaflet ```
geojson (🥉28 · ⭐ 620) - Python bindings and utilities for GeoJSON. BSD-3 - [GitHub](https://github.com/jazzband/geojson) (👨‍💻 44 · 🔀 85 · 📦 6.4K · 📋 72 - 27% open · ⏱️ 21.03.2021): ``` git clone https://github.com/jazzband/geojson ``` - [PyPi](https://pypi.org/project/geojson) (📥 660K / month · 📦 1.8K · ⏱️ 09.08.2019): ``` pip install geojson ``` - [Conda](https://anaconda.org/conda-forge/geojson) (📥 390K · ⏱️ 11.08.2019): ``` conda install -c conda-forge geojson ```
ArcGIS API (🥉25 · ⭐ 1K) - Documentation and samples for ArcGIS API for Python. Apache-2 - [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 62 · 🔀 730 · 📋 340 - 34% open · ⏱️ 19.04.2021): ``` git clone https://github.com/Esri/arcgis-python-api ``` - [PyPi](https://pypi.org/project/arcgis) (📥 38K / month · 📦 20 · ⏱️ 12.04.2021): ``` pip install arcgis ``` - [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (📥 4.3K · ⭐ 32 · ⏱️ 06.03.2020): ``` docker pull esridocker/arcgis-api-python-notebook ```
PySAL (🥉25 · ⭐ 840) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 - [GitHub](https://github.com/pysal/pysal) (👨‍💻 71 · 🔀 240 · 📋 640 - 9% open · ⏱️ 01.02.2021): ``` git clone https://github.com/pysal/pysal ``` - [PyPi](https://pypi.org/project/pysal) (📥 15K / month · 📦 36 · ⏱️ 02.02.2021): ``` pip install pysal ``` - [Conda](https://anaconda.org/conda-forge/pysal) (📥 410K · ⏱️ 08.02.2021): ``` conda install -c conda-forge pysal ```
Mapbox GL (🥉23 · ⭐ 560) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (👨‍💻 21 · 🔀 120 · 📦 99 · 📋 100 - 34% open · ⏱️ 19.04.2021): ``` git clone https://github.com/mapbox/mapboxgl-jupyter ``` - [PyPi](https://pypi.org/project/mapboxgl) (📥 8.2K / month · 📦 18 · ⏱️ 02.06.2019): ``` pip install mapboxgl ```
GeoViews (🥉23 · ⭐ 340) - Simple, concise geographical visualization in Python. BSD-3 - [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 23 · 🔀 64 · 📋 260 - 30% open · ⏱️ 13.04.2021): ``` git clone https://github.com/holoviz/geoviews ``` - [PyPi](https://pypi.org/project/geoviews) (📥 7.2K / month · 📦 20 · ⏱️ 13.03.2021): ``` pip install geoviews ``` - [Conda](https://anaconda.org/conda-forge/geoviews) (📥 66K · ⏱️ 14.03.2021): ``` conda install -c conda-forge geoviews ```
EarthPy (🥉20 · ⭐ 250) - A package built to support working with spatial data using open source.. BSD-3 - [GitHub](https://github.com/earthlab/earthpy) (👨‍💻 39 · 🔀 110 · 📦 88 · 📋 220 - 8% open · ⏱️ 06.04.2021): ``` git clone https://github.com/earthlab/earthpy ``` - [PyPi](https://pypi.org/project/earthpy) (📥 3K / month · 📦 6 · ⏱️ 18.06.2020): ``` pip install earthpy ``` - [Conda](https://anaconda.org/conda-forge/earthpy) (📥 31K · ⏱️ 19.06.2020): ``` conda install -c conda-forge earthpy ```
pymap3d (🥉19 · ⭐ 190) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 - [GitHub](https://github.com/geospace-code/pymap3d) (👨‍💻 10 · 🔀 60 · 📋 26 - 7% open · ⏱️ 13.04.2021): ``` git clone https://github.com/geospace-code/pymap3d ``` - [PyPi](https://pypi.org/project/pymap3d) (📥 40K / month · 📦 6 · ⏱️ 21.03.2021): ``` pip install pymap3d ``` - [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 8.7K · ⏱️ 13.04.2021): ``` conda install -c conda-forge pymap3d ```
Show 6 hidden projects... - Geocoder (🥈30 · ⭐ 1.3K · 💀) - Python Geocoder. MIT - Cartopy (🥉29 · ⭐ 1.5K) - Rasterio reads and writes geospatial raster datasets. ❗️LGPL-3.0 - Satpy (🥉25 · ⭐ 690) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - gmaps (🥉22 · ⭐ 710 · 💀) - Google maps for Jupyter notebooks. BSD-3 - Sentinelsat (🥉21 · ⭐ 600) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - geoplotlib (🥉20 · ⭐ 910 · 💀) - python toolbox for visualizing geographical data and making maps. MIT

## Financial Data Back to top _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._
zipline (🥇30 · ⭐ 14K) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - [GitHub](https://github.com/quantopian/zipline) (👨‍💻 150 · 🔀 3.9K · 📦 710 · 📋 990 - 34% open · ⏱️ 14.10.2020): ``` git clone https://github.com/quantopian/zipline ``` - [PyPi](https://pypi.org/project/zipline) (📥 6.8K / month · 📦 160 · ⏱️ 05.10.2020): ``` pip install zipline ```
yfinance (🥇29 · ⭐ 4.9K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2 - [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 36 · 🔀 1.2K · 📦 4.1K · 📋 520 - 56% open · ⏱️ 25.03.2021): ``` git clone https://github.com/ranaroussi/yfinance ``` - [PyPi](https://pypi.org/project/yfinance) (📥 200K / month · 📦 26 · ⏱️ 25.03.2021): ``` pip install yfinance ``` - [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 45K · ⏱️ 27.12.2019): ``` conda install -c ranaroussi yfinance ```
pyfolio (🥇28 · ⭐ 3.7K · 💤) - Portfolio and risk analytics in Python. Apache-2 - [GitHub](https://github.com/quantopian/pyfolio) (👨‍💻 55 · 🔀 1.2K · 📦 230 · 📋 390 - 32% open · ⏱️ 15.07.2020): ``` git clone https://github.com/quantopian/pyfolio ``` - [PyPi](https://pypi.org/project/pyfolio) (📥 8.5K / month · 📦 54 · ⏱️ 15.04.2019): ``` pip install pyfolio ``` - [Conda](https://anaconda.org/conda-forge/pyfolio) (📥 6.2K · ⏱️ 16.05.2020): ``` conda install -c conda-forge pyfolio ```
ta (🥇28 · ⭐ 2.1K) - Technical Analysis Library using Pandas and Numpy. MIT - [GitHub](https://github.com/bukosabino/ta) (👨‍💻 23 · 🔀 510 · 📦 520 · 📋 160 - 46% open · ⏱️ 29.11.2020): ``` git clone https://github.com/bukosabino/ta ``` - [PyPi](https://pypi.org/project/ta) (📥 72K / month · 📦 12 · ⏱️ 29.11.2020): ``` pip install ta ```
Alpha Vantage (🥈27 · ⭐ 3.3K) - A python wrapper for Alpha Vantage API for financial data. MIT - [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨‍💻 36 · 🔀 590 · 📋 240 - 5% open · ⏱️ 21.12.2020): ``` git clone https://github.com/RomelTorres/alpha_vantage ``` - [PyPi](https://pypi.org/project/alpha_vantage) (📥 31K / month · 📦 200 · ⏱️ 26.08.2018): ``` pip install alpha_vantage ```
IB-insync (🥈25 · ⭐ 1.4K) - Python sync/async framework for Interactive Brokers API. BSD-2 - [GitHub](https://github.com/erdewit/ib_insync) (👨‍💻 28 · 🔀 420 · 📋 300 - 0% open · ⏱️ 28.04.2021): ``` git clone https://github.com/erdewit/ib_insync ``` - [PyPi](https://pypi.org/project/ib_insync) (📥 7.7K / month · 📦 12 · ⏱️ 26.04.2021): ``` pip install ib_insync ``` - [Conda](https://anaconda.org/conda-forge/ib-insync) (📥 9.3K · ⏱️ 25.02.2021): ``` conda install -c conda-forge ib-insync ```
bt (🥈25 · ⭐ 1K) - bt - flexible backtesting for Python. MIT - [GitHub](https://github.com/pmorissette/bt) (👨‍💻 21 · 🔀 280 · 📦 51 · 📋 260 - 21% open · ⏱️ 24.04.2021): ``` git clone https://github.com/pmorissette/bt ``` - [PyPi](https://pypi.org/project/bt) (📥 9.1K / month · 📦 20 · ⏱️ 21.04.2021): ``` pip install bt ```
ffn (🥈25 · ⭐ 840) - ffn - a financial function library for Python. MIT - [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 26 · 🔀 200 · 📦 120 · 📋 90 - 20% open · ⏱️ 24.04.2021): ``` git clone https://github.com/pmorissette/ffn ``` - [PyPi](https://pypi.org/project/ffn) (📥 15K / month · 📦 42 · ⏱️ 21.04.2021): ``` pip install ffn ```
empyrical (🥈25 · ⭐ 770) - Common financial risk and performance metrics. Used by zipline and.. Apache-2 - [GitHub](https://github.com/quantopian/empyrical) (👨‍💻 22 · 🔀 240 · 📦 590 · 📋 53 - 50% open · ⏱️ 14.10.2020): ``` git clone https://github.com/quantopian/empyrical ``` - [PyPi](https://pypi.org/project/empyrical) (📥 66K / month · 📦 220 · ⏱️ 13.10.2020): ``` pip install empyrical ``` - [Conda](https://anaconda.org/conda-forge/empyrical) (📥 11K · ⏱️ 14.10.2020): ``` conda install -c conda-forge empyrical ```
Alphalens (🥉24 · ⭐ 1.9K · 💤) - Performance analysis of predictive (alpha) stock factors. Apache-2 - [GitHub](https://github.com/quantopian/alphalens) (👨‍💻 25 · 🔀 700 · 📦 380 · 📋 180 - 20% open · ⏱️ 27.04.2020): ``` git clone https://github.com/quantopian/alphalens ``` - [PyPi](https://pypi.org/project/alphalens) (📥 3K / month · 📦 28 · ⏱️ 27.04.2020): ``` pip install alphalens ``` - [Conda](https://anaconda.org/conda-forge/alphalens) (📥 11K · ⏱️ 16.05.2020): ``` conda install -c conda-forge alphalens ```
Enigma Catalyst (🥉23 · ⭐ 2.1K) - An Algorithmic Trading Library for Crypto-Assets in Python. Apache-2 - [GitHub](https://github.com/enigmampc/catalyst) (👨‍💻 140 · 🔀 610 · 📦 22 · 📋 490 - 27% open · ⏱️ 28.12.2020): ``` git clone https://github.com/enigmampc/catalyst ``` - [PyPi](https://pypi.org/project/enigma-catalyst) (📥 2.6K / month · 📦 2 · ⏱️ 11.11.2018): ``` pip install enigma-catalyst ```
TensorTrade (🥉22 · ⭐ 3.2K) - An open source reinforcement learning framework for training,.. Apache-2 - [GitHub](https://github.com/tensortrade-org/tensortrade) (👨‍💻 50 · 🔀 710 · 📦 15 · 📋 170 - 15% open · ⏱️ 24.03.2021): ``` git clone https://github.com/tensortrade-org/tensortrade ``` - [PyPi](https://pypi.org/project/tensortrade) (📥 1.6K / month · 📦 1 · ⏱️ 20.12.2020): ``` pip install tensortrade ```
stockstats (🥉22 · ⭐ 760) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 - [GitHub](https://github.com/jealous/stockstats) (👨‍💻 7 · 🔀 210 · 📦 230 · 📋 60 - 48% open · ⏱️ 17.10.2020): ``` git clone https://github.com/jealous/stockstats ``` - [PyPi](https://pypi.org/project/stockstats) (📥 43K / month · 📦 48 · ⏱️ 17.10.2020): ``` pip install stockstats ```
finmarketpy (🥉21 · ⭐ 2.5K) - Python library for backtesting trading strategies & analyzing.. Apache-2 - [GitHub](https://github.com/cuemacro/finmarketpy) (👨‍💻 14 · 🔀 430 · 📥 39 · 📦 3 · 📋 25 - 88% open · ⏱️ 28.04.2021): ``` git clone https://github.com/cuemacro/finmarketpy ``` - [PyPi](https://pypi.org/project/finmarketpy) (📥 160 / month · ⏱️ 25.01.2021): ``` pip install finmarketpy ```
Qlib (🥉20 · ⭐ 4.9K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT - [GitHub](https://github.com/microsoft/qlib) (👨‍💻 39 · 🔀 780 · 📥 230 · 📦 2 · 📋 210 - 53% open · ⏱️ 28.04.2021): ``` git clone https://github.com/microsoft/qlib ``` - [PyPi](https://pypi.org/project/pyqlib) (📥 4.4K / month · ⏱️ 02.02.2021): ``` pip install pyqlib ```
tf-quant-finance (🥉20 · ⭐ 2.6K) - High-performance TensorFlow library for quantitative.. Apache-2 - [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 30 · 🔀 330 · 📦 4 · 📋 27 - 59% open · ⏱️ 29.04.2021): ``` git clone https://github.com/google/tf-quant-finance ``` - [PyPi](https://pypi.org/project/tf-quant-finance) (📥 360 / month · ⏱️ 13.04.2021): ``` pip install tf-quant-finance ```
Crypto Signals (🥉18 · ⭐ 3K · 💤) - Github.com/CryptoSignal - #1 Quant Trading & Technical.. MIT - [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (👨‍💻 25 · 🔀 770 · 📋 230 - 17% open · ⏱️ 03.09.2020): ``` git clone https://github.com/CryptoSignal/crypto-signal ``` - [Docker Hub](https://hub.docker.com/r/shadowreaver/crypto-signal) (📥 44K · ⭐ 8 · ⏱️ 03.09.2020): ``` docker pull shadowreaver/crypto-signal ```
Show 6 hidden projects... - backtrader (🥈26 · ⭐ 6.3K) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - PyAlgoTrade (🥉23 · ⭐ 3.3K · 💀) - Python Algorithmic Trading Library. Apache-2 - FinTA (🥉23 · ⭐ 1K) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - arch (🥉23 · ⭐ 700) - ARCH models in Python. ❗️NCSA - Backtesting.py (🥉18 · ⭐ 1.3K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - surpriver (🥉12 · ⭐ 1.2K · 💤) - Find big moving stocks before they move using machine.. ❗️GPL-3.0

## Time Series Data Back to top _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._
Prophet (🥇29 · ⭐ 13K) - Tool for producing high quality forecasts for time series data that has.. MIT - [GitHub](https://github.com/facebook/prophet) (👨‍💻 130 · 🔀 3.6K · 📥 590 · 📋 1.6K - 4% open · ⏱️ 21.04.2021): ``` git clone https://github.com/facebook/prophet ``` - [PyPi](https://pypi.org/project/fbprophet) (📥 740K / month · 📦 150 · ⏱️ 05.09.2020): ``` pip install fbprophet ```
tsfresh (🥇27 · ⭐ 5.6K) - Automatic extraction of relevant features from time series:. MIT - [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 76 · 🔀 870 · 📋 460 - 8% open · ⏱️ 27.04.2021): ``` git clone https://github.com/blue-yonder/tsfresh ``` - [PyPi](https://pypi.org/project/tsfresh) (📥 230K / month · 📦 66 · ⏱️ 09.09.2020): ``` pip install tsfresh ``` - [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 33K · ⏱️ 07.03.2021): ``` conda install -c conda-forge tsfresh ```
pmdarima (🥇27 · ⭐ 870) - A statistical library designed to fill the void in Python's time series.. MIT - [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 17 · 🔀 160 · 📦 900 · 📋 230 - 7% open · ⏱️ 19.04.2021): ``` git clone https://github.com/alkaline-ml/pmdarima ``` - [PyPi](https://pypi.org/project/pmdarima) (📥 390K / month · 📦 12 · ⏱️ 19.04.2021): ``` pip install pmdarima ```
tslearn (🥈25 · ⭐ 1.6K) - A machine learning toolkit dedicated to time-series data. BSD-2 - [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 30 · 🔀 230 · 📦 220 · 📋 230 - 27% open · ⏱️ 25.01.2021): ``` git clone https://github.com/tslearn-team/tslearn ``` - [PyPi](https://pypi.org/project/tslearn) (📥 62K / month · 📦 22 · ⏱️ 25.01.2021): ``` pip install tslearn ``` - [Conda](https://anaconda.org/conda-forge/tslearn) (📥 210K · ⏱️ 25.01.2021): ``` conda install -c conda-forge tslearn ```
Streamz (🥈25 · ⭐ 940) - Real-time stream processing for python. BSD-3 - [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 39 · 🔀 120 · 📦 200 · 📋 220 - 40% open · ⏱️ 05.04.2021): ``` git clone https://github.com/python-streamz/streamz ``` - [PyPi](https://pypi.org/project/streamz) (📥 8.1K / month · 📦 16 · ⏱️ 14.01.2021): ``` pip install streamz ``` - [Conda](https://anaconda.org/conda-forge/streamz) (📥 150K · ⏱️ 15.01.2021): ``` conda install -c conda-forge streamz ```
sktime (🥈24 · ⭐ 3.9K) - A unified framework for machine learning with time series. BSD-3 - [GitHub](https://github.com/alan-turing-institute/sktime) (👨‍💻 83 · 🔀 520 · 📥 57 · 📦 140 · 📋 420 - 28% open · ⏱️ 26.04.2021): ``` git clone https://github.com/alan-turing-institute/sktime ``` - [PyPi](https://pypi.org/project/sktime) (📥 52K / month · ⏱️ 15.04.2021): ``` pip install sktime ```
GluonTS (🥈23 · ⭐ 1.9K) - Probabilistic time series modeling in Python. Apache-2 - [GitHub](https://github.com/awslabs/gluon-ts) (👨‍💻 71 · 🔀 390 · 📋 580 - 35% open · ⏱️ 29.04.2021): ``` git clone https://github.com/awslabs/gluon-ts ``` - [PyPi](https://pypi.org/project/gluonts) (📥 34K / month · ⏱️ 27.04.2021): ``` pip install gluonts ```
STUMPY (🥉22 · ⭐ 1.8K) - STUMPY is a powerful and scalable Python library for computing a Matrix.. BSD-3 - [GitHub](https://github.com/TDAmeritrade/stumpy) (👨‍💻 21 · 🔀 170 · 📋 230 - 11% open · ⏱️ 20.04.2021): ``` git clone https://github.com/TDAmeritrade/stumpy ``` - [PyPi](https://pypi.org/project/stumpy) (📥 62K / month · ⏱️ 04.02.2021): ``` pip install stumpy ``` - [Conda](https://anaconda.org/conda-forge/stumpy) (📥 20K · ⏱️ 05.02.2021): ``` conda install -c conda-forge stumpy ```
pytorch-forecasting (🥉20 · ⭐ 950) - Time series forecasting with PyTorch. MIT - [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨‍💻 16 · 🔀 120 · 📋 200 - 23% open · ⏱️ 29.04.2021): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` - [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 11K / month · ⏱️ 27.04.2021): ``` pip install pytorch-forecasting ```
pyts (🥉20 · ⭐ 930) - A Python package for time series classification. BSD-3 - [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 9 · 🔀 100 · 📦 100 · 📋 45 - 57% open · ⏱️ 31.03.2021): ``` git clone https://github.com/johannfaouzi/pyts ``` - [PyPi](https://pypi.org/project/pyts) (📥 20K / month · 📦 4 · ⏱️ 21.03.2020): ``` pip install pyts ``` - [Conda](https://anaconda.org/conda-forge/pyts) (📥 7.2K · ⏱️ 21.03.2020): ``` conda install -c conda-forge pyts ```
Darts (🥉20 · ⭐ 840) - A python library for easy manipulation and forecasting of time series. Apache-2 - [GitHub](https://github.com/unit8co/darts) (👨‍💻 25 · 🔀 110 · 📦 2 · 📋 84 - 22% open · ⏱️ 19.04.2021): ``` git clone https://github.com/unit8co/darts ``` - [PyPi](https://pypi.org/project/u8darts) (📥 2.6K / month · ⏱️ 14.04.2021): ``` pip install u8darts ``` - [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 110 · ⏱️ 14.04.2021): ``` docker pull unit8/darts ```
seglearn (🥉20 · ⭐ 440) - Python module for machine learning time series:. BSD-3 - [GitHub](https://github.com/dmbee/seglearn) (👨‍💻 13 · 🔀 47 · 📦 7 · 📋 27 - 18% open · ⏱️ 12.03.2021): ``` git clone https://github.com/dmbee/seglearn ``` - [PyPi](https://pypi.org/project/seglearn) (📥 2.7K / month · 📦 1 · ⏱️ 13.03.2021): ``` pip install seglearn ```
matrixprofile-ts (🥉19 · ⭐ 630 · 💤) - A Python library for detecting patterns and anomalies.. Apache-2 - [GitHub](https://github.com/target/matrixprofile-ts) (👨‍💻 15 · 🔀 92 · 📦 16 · 📋 53 - 35% open · ⏱️ 25.04.2020): ``` git clone https://github.com/target/matrixprofile-ts ``` - [PyPi](https://pypi.org/project/matrixprofile-ts) (📥 3.9K / month · ⏱️ 08.08.2019): ``` pip install matrixprofile-ts ```
Auto TS (🥉19 · ⭐ 220) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - [GitHub](https://github.com/AutoViML/Auto_TS) (👨‍💻 6 · 🔀 41 · 📋 41 - 24% open · ⏱️ 14.03.2021): ``` git clone https://github.com/AutoViML/Auto_TS ``` - [PyPi](https://pypi.org/project/auto-ts) (📥 1.3K / month · ⏱️ 14.03.2021): ``` pip install auto-ts ```
tick (🥉18 · ⭐ 330 · 💤) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - [GitHub](https://github.com/X-DataInitiative/tick) (👨‍💻 16 · 🔀 74 · 📥 160 · 📦 30 · 📋 220 - 25% open · ⏱️ 15.06.2020): ``` git clone https://github.com/X-DataInitiative/tick ``` - [PyPi](https://pypi.org/project/tick) (📥 1.2K / month · 📦 1 · ⏱️ 24.05.2020): ``` pip install tick ```
ADTK (🥉17 · ⭐ 650 · 💤) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - [GitHub](https://github.com/arundo/adtk) (👨‍💻 11 · 🔀 83 · 📋 55 - 43% open · ⏱️ 17.04.2020): ``` git clone https://github.com/arundo/adtk ``` - [PyPi](https://pypi.org/project/adtk) (📥 51K / month · ⏱️ 17.04.2020): ``` pip install adtk ```
atspy (🥉16 · ⭐ 350) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - [GitHub](https://github.com/firmai/atspy) (👨‍💻 5 · 🔀 67 · 📦 3 · 📋 20 - 90% open · ⏱️ 12.11.2020): ``` git clone https://github.com/firmai/atspy ``` - [PyPi](https://pypi.org/project/atspy) (📥 870 / month · ⏱️ 24.04.2020): ``` pip install atspy ```
Show 3 hidden projects... - PyFlux (🥈23 · ⭐ 1.9K · 💀) - Open source time series library for Python. BSD-3 - luminol (🥉21 · ⭐ 910 · 💀) - Anomaly Detection and Correlation library. Apache-2 - pydlm (🥉21 · ⭐ 380 · 💀) - A python library for Bayesian time series modeling. BSD-3

## Medical Data Back to top _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._
Nilearn (🥇30 · ⭐ 720) - Machine learning for NeuroImaging in Python. BSD-3 - [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 170 · 🔀 390 · 📦 980 · 📋 1.6K - 24% open · ⏱️ 29.04.2021): ``` git clone https://github.com/nilearn/nilearn ``` - [PyPi](https://pypi.org/project/nilearn) (📥 25K / month · 📦 300 · ⏱️ 10.03.2021): ``` pip install nilearn ``` - [Conda](https://anaconda.org/conda-forge/nilearn) (📥 94K · ⏱️ 10.03.2021): ``` conda install -c conda-forge nilearn ```
NiBabel (🥇30 · ⭐ 400) - Python package to access a cacophony of neuro-imaging file formats. MIT - [GitHub](https://github.com/nipy/nibabel) (👨‍💻 90 · 🔀 210 · 📦 4.2K · 📋 410 - 27% open · ⏱️ 27.04.2021): ``` git clone https://github.com/nipy/nibabel ``` - [PyPi](https://pypi.org/project/nibabel) (📥 110K / month · 📦 1.3K · ⏱️ 28.11.2020): ``` pip install nibabel ``` - [Conda](https://anaconda.org/conda-forge/nibabel) (📥 330K · ⏱️ 29.11.2020): ``` conda install -c conda-forge nibabel ```
Lifelines (🥈29 · ⭐ 1.6K) - Survival analysis in Python. MIT - [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 93 · 🔀 420 · 📦 560 · 📋 800 - 25% open · ⏱️ 15.04.2021): ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` - [PyPi](https://pypi.org/project/lifelines) (📥 240K / month · 📦 130 · ⏱️ 13.04.2021): ``` pip install lifelines ``` - [Conda](https://anaconda.org/conda-forge/lifelines) (📥 140K · ⏱️ 06.04.2021): ``` conda install -c conda-forge lifelines ```
NIPYPE (🥈29 · ⭐ 560) - Workflows and interfaces for neuroimaging packages. Apache-2 - [GitHub](https://github.com/nipy/nipype) (👨‍💻 210 · 🔀 460 · 📦 580 · 📋 1.2K - 27% open · ⏱️ 22.04.2021): ``` git clone https://github.com/nipy/nipype ``` - [PyPi](https://pypi.org/project/nipype) (📥 19K / month · 📦 190 · ⏱️ 28.11.2020): ``` pip install nipype ``` - [Conda](https://anaconda.org/conda-forge/nipype) (📥 390K · ⏱️ 28.11.2020): ``` conda install -c conda-forge nipype ```
DIPY (🥈28 · ⭐ 430) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 - [GitHub](https://github.com/dipy/dipy) (👨‍💻 120 · 🔀 310 · 📦 360 · 📋 760 - 20% open · ⏱️ 25.04.2021): ``` git clone https://github.com/dipy/dipy ``` - [PyPi](https://pypi.org/project/dipy) (📥 12K / month · 📦 94 · ⏱️ 14.03.2021): ``` pip install dipy ``` - [Conda](https://anaconda.org/conda-forge/dipy) (📥 210K · ⏱️ 14.03.2021): ``` conda install -c conda-forge dipy ```
MNE (🥈27 · ⭐ 1.6K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 - [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 260 · 🔀 910 · 📦 940 · 📋 3.6K - 9% open · ⏱️ 29.04.2021): ``` git clone https://github.com/mne-tools/mne-python ``` - [PyPi](https://pypi.org/project/mne) (📥 40K / month · 📦 200 · ⏱️ 27.04.2021): ``` pip install mne ``` - [Conda](https://anaconda.org/conda-forge/mne) (📥 130K · ⏱️ 27.04.2021): ``` conda install -c conda-forge mne ```
Hail (🥈24 · ⭐ 720) - Scalable genomic data analysis. MIT - [GitHub](https://github.com/hail-is/hail) (👨‍💻 73 · 🔀 180 · 📦 37 · 📋 2.3K - 14% open · ⏱️ 29.04.2021): ``` git clone https://github.com/hail-is/hail ``` - [PyPi](https://pypi.org/project/hail) (📥 5.1K / month · ⏱️ 22.04.2021): ``` pip install hail ```
NIPY (🥈23 · ⭐ 300) - Neuroimaging in Python FMRI analysis package. BSD-3 - [GitHub](https://github.com/nipy/nipy) (👨‍💻 63 · 🔀 120 · 📋 150 - 28% open · ⏱️ 29.03.2021): ``` git clone https://github.com/nipy/nipy ``` - [PyPi](https://pypi.org/project/nipy) (📥 1.7K / month · 📦 82 · ⏱️ 19.02.2018): ``` pip install nipy ``` - [Conda](https://anaconda.org/conda-forge/nipy) (📥 78K · ⏱️ 04.05.2020): ``` conda install -c conda-forge nipy ```
DeepVariant (🥉21 · ⭐ 2.3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 - [GitHub](https://github.com/google/deepvariant) (👨‍💻 19 · 🔀 540 · 📥 3.3K · 📋 400 - 0% open · ⏱️ 31.03.2021): ``` git clone https://github.com/google/deepvariant ``` - [Conda](https://anaconda.org/bioconda/deepvariant) (📥 29K · ⏱️ 18.04.2021): ``` conda install -c bioconda deepvariant ```
MONAI (🥉20 · ⭐ 1.9K · 📉) - AI Toolkit for Healthcare Imaging. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 58 · 🔀 350 · 📋 870 - 11% open · ⏱️ 29.04.2021): ``` git clone https://github.com/Project-MONAI/MONAI ``` - [PyPi](https://pypi.org/project/monai) (📥 7.3K / month · ⏱️ 27.04.2021): ``` pip install monai ```
NiftyNet (🥉20 · ⭐ 1.3K · 💤) - [unmaintained] An open-source convolutional neural.. Apache-2 - [GitHub](https://github.com/NifTK/NiftyNet) (👨‍💻 58 · 🔀 380 · 📋 330 - 31% open · ⏱️ 21.04.2020): ``` git clone https://github.com/NifTK/NiftyNet ``` - [PyPi](https://pypi.org/project/niftynet) (📥 250 / month · 📦 1 · ⏱️ 10.10.2019): ``` pip install niftynet ```
Brainiak (🥉20 · ⭐ 240) - Brain Imaging Analysis Kit. Apache-2 - [GitHub](https://github.com/brainiak/brainiak) (👨‍💻 32 · 🔀 110 · 📦 12 · 📋 190 - 35% open · ⏱️ 19.02.2021): ``` git clone https://github.com/brainiak/brainiak ``` - [PyPi](https://pypi.org/project/brainiak) (📥 360 / month · 📦 1 · ⏱️ 15.10.2020): ``` pip install brainiak ``` - [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (📥 530 · ⭐ 1 · ⏱️ 15.10.2020): ``` docker pull brainiak/brainiak ```
Glow (🥉20 · ⭐ 170) - An open-source toolkit for large-scale genomic analysis. Apache-2 - [GitHub](https://github.com/projectglow/glow) (👨‍💻 12 · 🔀 44 · 📋 86 - 32% open · ⏱️ 27.04.2021): ``` git clone https://github.com/projectglow/glow ``` - [PyPi](https://pypi.org/project/glow.py) (📥 14K / month · ⏱️ 28.04.2021): ``` pip install glow.py ```
MedicalTorch (🥉17 · ⭐ 730) - A medical imaging framework for Pytorch. Apache-2 - [GitHub](https://github.com/perone/medicaltorch) (👨‍💻 8 · 🔀 110 · 📦 10 · 📋 23 - 60% open · ⏱️ 16.04.2021): ``` git clone https://github.com/perone/medicaltorch ``` - [PyPi](https://pypi.org/project/medicaltorch) (📥 220 / month · ⏱️ 24.11.2018): ``` pip install medicaltorch ```
Medical Detection Toolkit (🥉13 · ⭐ 940) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - [GitHub](https://github.com/MIC-DKFZ/medicaldetectiontoolkit) (👨‍💻 3 · 🔀 240 · 📋 110 - 24% open · ⏱️ 30.03.2021): ``` git clone https://github.com/MIC-DKFZ/medicaldetectiontoolkit ```
MedicalNet (🥉12 · ⭐ 1.1K · 💤) - Many studies have shown that the performance on deep learning is.. MIT - [GitHub](https://github.com/Tencent/MedicalNet) (👨‍💻 1 · 🔀 300 · 📋 59 - 76% open · ⏱️ 27.08.2020): ``` git clone https://github.com/Tencent/MedicalNet ```
Show 3 hidden projects... - DLTK (🥉20 · ⭐ 1.3K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - MedPy (🥉20 · ⭐ 340 · 💤) - Medical image processing in Python. ❗️GPL-3.0 - DeepNeuro (🥉14 · ⭐ 100 · 💤) - A deep learning python package for neuroimaging data. Made by:. MIT

## Optical Character Recognition Back to top _Libraries for optical character recognition (OCR) and text extraction from images or videos._
Tesseract (🥇30 · ⭐ 3.6K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (👨‍💻 37 · 🔀 520 · 📋 260 - 2% open · ⏱️ 26.04.2021): ``` git clone https://github.com/madmaze/pytesseract ``` - [PyPi](https://pypi.org/project/pytesseract) (📥 770K / month · 📦 1.4K · ⏱️ 15.12.2020): ``` pip install pytesseract ``` - [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 250K · ⏱️ 20.11.2020): ``` conda install -c conda-forge pytesseract ```
EasyOCR (🥇29 · ⭐ 11K · 📈) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2 - [GitHub](https://github.com/JaidedAI/EasyOCR) (👨‍💻 77 · 🔀 1.2K · 📥 260K · 📦 200 · 📋 300 - 39% open · ⏱️ 21.04.2021): ``` git clone https://github.com/JaidedAI/EasyOCR ``` - [PyPi](https://pypi.org/project/easyocr) (📥 17K / month · ⏱️ 24.04.2021): ``` pip install easyocr ```
OCRmyPDF (🥈27 · ⭐ 4.2K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 - [GitHub](https://github.com/jbarlow83/OCRmyPDF) (👨‍💻 53 · 🔀 440 · 📦 140 · 📋 690 - 12% open · ⏱️ 26.04.2021): ``` git clone https://github.com/jbarlow83/OCRmyPDF ``` - [PyPi](https://pypi.org/project/ocrmypdf) (📥 19K / month · 📦 12 · ⏱️ 27.04.2021): ``` pip install ocrmypdf ```
tesserocr (🥈27 · ⭐ 1.4K) - A Python wrapper for the tesseract-ocr API. MIT - [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 24 · 🔀 200 · 📦 490 · 📋 210 - 29% open · ⏱️ 23.03.2021): ``` git clone https://github.com/sirfz/tesserocr ``` - [PyPi](https://pypi.org/project/tesserocr) (📥 74K / month · 📦 100 · ⏱️ 17.03.2020): ``` pip install tesserocr ``` - [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 43K · ⏱️ 13.01.2021): ``` conda install -c conda-forge tesserocr ```
PaddleOCR (🥈25 · ⭐ 12K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 56 · 🔀 2.4K · 📦 92 · 📋 1.8K - 37% open · ⏱️ 29.04.2021): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` - [PyPi](https://pypi.org/project/paddleocr) (📥 4.8K / month · ⏱️ 13.04.2021): ``` pip install paddleocr ```
attention-ocr (🥉21 · ⭐ 860) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT - [GitHub](https://github.com/emedvedev/attention-ocr) (👨‍💻 27 · 🔀 230 · 📦 16 · 📋 140 - 13% open · ⏱️ 31.10.2020): ``` git clone https://github.com/emedvedev/attention-ocr ``` - [PyPi](https://pypi.org/project/aocr) (📥 380 / month · ⏱️ 19.04.2019): ``` pip install aocr ```
keras-ocr (🥉21 · ⭐ 830) - A packaged and flexible version of the CRAFT text detector and.. MIT - [GitHub](https://github.com/faustomorales/keras-ocr) (👨‍💻 10 · 🔀 200 · 📥 40K · 📋 130 - 27% open · ⏱️ 31.03.2021): ``` git clone https://github.com/faustomorales/keras-ocr ``` - [PyPi](https://pypi.org/project/keras-ocr) (📥 4.1K / month · 📦 2 · ⏱️ 26.11.2020): ``` pip install keras-ocr ```
calamari (🥉20 · ⭐ 810) - Line based ATR Engine based on OCRopy. Apache-2 - [GitHub](https://github.com/Calamari-OCR/calamari) (👨‍💻 17 · 🔀 170 · 📋 180 - 16% open · ⏱️ 27.03.2021): ``` git clone https://github.com/Calamari-OCR/calamari ``` - [PyPi](https://pypi.org/project/calamari_ocr) (📥 1.1K / month · 📦 2 · ⏱️ 13.11.2018): ``` pip install calamari_ocr ```
doc2text (🥉18 · ⭐ 1.2K) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python module.. MIT - [GitHub](https://github.com/jlsutherland/doc2text) (👨‍💻 5 · 🔀 93 · 📦 35 · 📋 21 - 57% open · ⏱️ 01.12.2020): ``` git clone https://github.com/jlsutherland/doc2text ``` - [PyPi](https://pypi.org/project/doc2text) (📥 490 / month · ⏱️ 06.09.2016): ``` pip install doc2text ```
Mozart (🥉10 · ⭐ 250 · 🐣) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 - [GitHub](https://github.com/aashrafh/Mozart) (👨‍💻 5 · 🔀 40 · 📋 3 - 33% open · ⏱️ 04.04.2021): ``` git clone https://github.com/aashrafh/Mozart ```
Show 1 hidden projects... - pdftabextract (🥉19 · ⭐ 1.9K · 💀) - A set of tools for extracting tables from PDF files.. Apache-2

## Data Containers & Structures Back to top _General-purpose data containers & structures as well as utilities & extensions for pandas._
pandas (🥇43 · ⭐ 30K) - Flexible and powerful data analysis / manipulation library for.. BSD-3 - [GitHub](https://github.com/pandas-dev/pandas) (👨‍💻 2.7K · 🔀 12K · 📥 100K · 📦 430K · 📋 21K - 18% open · ⏱️ 28.04.2021): ``` git clone https://github.com/pandas-dev/pandas ``` - [PyPi](https://pypi.org/project/pandas) (📥 46M / month · 📦 77K · ⏱️ 12.04.2021): ``` pip install pandas ``` - [Conda](https://anaconda.org/conda-forge/pandas) (📥 16M · ⏱️ 13.04.2021): ``` conda install -c conda-forge pandas ```
numpy (🥇38 · ⭐ 17K) - The fundamental package for scientific computing with Python. BSD-3 - [GitHub](https://github.com/numpy/numpy) (👨‍💻 1.3K · 🔀 5.4K · 📥 330K · 📦 690K · 📋 9.7K - 23% open · ⏱️ 28.04.2021): ``` git clone https://github.com/numpy/numpy ``` - [PyPi](https://pypi.org/project/numpy) (📥 71M / month · 📦 170K · ⏱️ 27.03.2021): ``` pip install numpy ``` - [Conda](https://anaconda.org/conda-forge/numpy) (📥 19M · ⏱️ 28.03.2021): ``` conda install -c conda-forge numpy ```
Arrow (🥇36 · ⭐ 7.8K · 📈) - Apache Arrow is a cross-language development platform for in-.. Apache-2 - [GitHub](https://github.com/apache/arrow) (👨‍💻 670 · 🔀 1.9K · 📦 40 · 📋 740 - 21% open · ⏱️ 29.04.2021): ``` git clone https://github.com/apache/arrow ``` - [PyPi](https://pypi.org/project/pyarrow) (📥 24M / month · 📦 990 · ⏱️ 26.04.2021): ``` pip install pyarrow ``` - [Conda](https://anaconda.org/conda-forge/arrow) (📥 550K · ⏱️ 28.04.2021): ``` conda install -c conda-forge arrow ```
h5py (🥇36 · ⭐ 1.5K) - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5.. BSD-3 - [GitHub](https://github.com/h5py/h5py) (👨‍💻 160 · 🔀 400 · 📥 1K · 📦 110K · 📋 1.2K - 18% open · ⏱️ 28.04.2021): ``` git clone https://github.com/h5py/h5py ``` - [PyPi](https://pypi.org/project/h5py) (📥 9.2M / month · 📦 23K · ⏱️ 05.03.2021): ``` pip install h5py ``` - [Conda](https://anaconda.org/conda-forge/h5py) (📥 5.1M · ⏱️ 16.04.2021): ``` conda install -c conda-forge h5py ```
xarray (🥈33 · ⭐ 2K) - N-D labeled arrays and datasets in Python. Apache-2 - [GitHub](https://github.com/pydata/xarray) (👨‍💻 310 · 🔀 650 · 📦 6K · 📋 2.8K - 28% open · ⏱️ 27.04.2021): ``` git clone https://github.com/pydata/xarray ``` - [PyPi](https://pypi.org/project/xarray) (📥 520K / month · 📦 1.1K · ⏱️ 26.02.2021): ``` pip install xarray ``` - [Conda](https://anaconda.org/conda-forge/xarray) (📥 2.8M · ⏱️ 26.02.2021): ``` conda install -c conda-forge xarray ```
numexpr (🥈31 · ⭐ 1.6K) - Fast numerical array expression evaluator for Python, NumPy, PyTables,.. MIT - [GitHub](https://github.com/pydata/numexpr) (👨‍💻 57 · 🔀 170 · 📋 300 - 17% open · ⏱️ 03.03.2021): ``` git clone https://github.com/pydata/numexpr ``` - [PyPi](https://pypi.org/project/numexpr) (📥 1.2M / month · 📦 5.5K · ⏱️ 03.03.2021): ``` pip install numexpr ``` - [Conda](https://anaconda.org/conda-forge/numexpr) (📥 2.5M · ⏱️ 05.03.2021): ``` conda install -c conda-forge numexpr ```
Modin (🥈29 · ⭐ 6K) - Modin: Speed up your Pandas workflows by changing a single line of.. Apache-2 - [GitHub](https://github.com/modin-project/modin) (👨‍💻 75 · 🔀 420 · 📥 200K · 📦 350 · 📋 1.7K - 29% open · ⏱️ 28.04.2021): ``` git clone https://github.com/modin-project/modin ``` - [PyPi](https://pypi.org/project/modin) (📥 140K / month · 📦 18 · ⏱️ 04.03.2021): ``` pip install modin ```
TinyDB (🥈29 · ⭐ 4.2K) - TinyDB is a lightweight document oriented database optimized for your.. MIT - [GitHub](https://github.com/msiemens/tinydb) (👨‍💻 64 · 🔀 370 · 📋 260 - 3% open · ⏱️ 19.04.2021): ``` git clone https://github.com/msiemens/tinydb ``` - [PyPi](https://pypi.org/project/tinydb) (📥 280K / month · 📦 1.1K · ⏱️ 11.02.2021): ``` pip install tinydb ``` - [Conda](https://anaconda.org/conda-forge/tinydb) (📥 120K · ⏱️ 11.02.2021): ``` conda install -c conda-forge tinydb ```
Koalas (🥈29 · ⭐ 2.8K) - Koalas: pandas API on Apache Spark. Apache-2 - [GitHub](https://github.com/databricks/koalas) (👨‍💻 50 · 🔀 300 · 📥 1K · 📦 89 · 📋 550 - 19% open · ⏱️ 15.04.2021): ``` git clone https://github.com/databricks/koalas ``` - [PyPi](https://pypi.org/project/koalas) (📥 2.9M / month · 📦 2 · ⏱️ 08.03.2021): ``` pip install koalas ``` - [Conda](https://anaconda.org/conda-forge/koalas) (📥 86K · ⏱️ 09.03.2021): ``` conda install -c conda-forge koalas ```
PyTables (🥈29 · ⭐ 1K) - A Python package to manage extremely large amounts of data. BSD-3 - [GitHub](https://github.com/PyTables/PyTables) (👨‍💻 98 · 🔀 200 · 📥 130 · 📋 620 - 27% open · ⏱️ 20.03.2021): ``` git clone https://github.com/PyTables/PyTables ``` - [PyPi](https://pypi.org/project/tables) (📥 680K / month · 📦 3.8K · ⏱️ 30.10.2019): ``` pip install tables ``` - [Conda](https://anaconda.org/conda-forge/pytables) (📥 2.5M · ⏱️ 14.01.2021): ``` conda install -c conda-forge pytables ```
Bottleneck (🥈29 · ⭐ 600) - Fast NumPy array functions written in C. BSD-2 - [GitHub](https://github.com/pydata/bottleneck) (👨‍💻 21 · 🔀 65 · 📦 21K · 📋 210 - 14% open · ⏱️ 24.01.2021): ``` git clone https://github.com/pydata/bottleneck ``` - [PyPi](https://pypi.org/project/Bottleneck) (📥 380K / month · 📦 2.9K · ⏱️ 21.02.2020): ``` pip install Bottleneck ``` - [Conda](https://anaconda.org/conda-forge/bottleneck) (📥 1.5M · ⏱️ 21.01.2021): ``` conda install -c conda-forge bottleneck ```
datasketch (🥉27 · ⭐ 1.5K) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. MIT - [GitHub](https://github.com/ekzhu/datasketch) (👨‍💻 17 · 🔀 210 · 📥 16 · 📦 280 · 📋 110 - 17% open · ⏱️ 24.02.2021): ``` git clone https://github.com/ekzhu/datasketch ``` - [PyPi](https://pypi.org/project/datasketch) (📥 240K / month · 📦 86 · ⏱️ 23.12.2020): ``` pip install datasketch ```
zarr (🥉27 · ⭐ 690) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT - [GitHub](https://github.com/zarr-developers/zarr-python) (👨‍💻 39 · 🔀 120 · 📦 660 · 📋 420 - 44% open · ⏱️ 29.04.2021): ``` git clone https://github.com/zarr-developers/zarr-python ``` - [PyPi](https://pypi.org/project/zarr) (📥 97K / month · 📦 72 · ⏱️ 27.04.2021): ``` pip install zarr ``` - [Conda](https://anaconda.org/conda-forge/zarr) (📥 710K · ⏱️ 27.04.2021): ``` conda install -c conda-forge zarr ```
bcolz (🥉26 · ⭐ 920 · 💤) - A columnar data container that can be compressed. BSD-3 - [GitHub](https://github.com/Blosc/bcolz) (👨‍💻 33 · 🔀 120 · 📦 1.6K · 📋 250 - 50% open · ⏱️ 10.09.2020): ``` git clone https://github.com/Blosc/bcolz ``` - [PyPi](https://pypi.org/project/bcolz) (📥 29K / month · 📦 970 · ⏱️ 13.04.2018): ``` pip install bcolz ``` - [Conda](https://anaconda.org/conda-forge/bcolz) (📥 240K · ⏱️ 05.11.2019): ``` conda install -c conda-forge bcolz ```
Vaex (🥉25 · ⭐ 6.1K) - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and.. MIT - [GitHub](https://github.com/vaexio/vaex) (👨‍💻 41 · 🔀 460 · 📥 210 · 📋 760 - 42% open · ⏱️ 26.04.2021): ``` git clone https://github.com/vaexio/vaex ``` - [PyPi](https://pypi.org/project/vaex) (📥 12K / month · 📦 4 · ⏱️ 18.03.2021): ``` pip install vaex ``` - [Conda](https://anaconda.org/conda-forge/vaex) (📥 100K · ⏱️ 09.03.2021): ``` conda install -c conda-forge vaex ```
swifter (🥉25 · ⭐ 1.6K) - A package which efficiently applies any function to a pandas.. MIT - [GitHub](https://github.com/jmcarpenter2/swifter) (👨‍💻 14 · 🔀 76 · 📦 320 · 📋 95 - 20% open · ⏱️ 19.12.2020): ``` git clone https://github.com/jmcarpenter2/swifter ``` - [PyPi](https://pypi.org/project/swifter) (📥 110K / month · 📦 32 · ⏱️ 11.10.2020): ``` pip install swifter ``` - [Conda](https://anaconda.org/conda-forge/swifter) (📥 94K · ⏱️ 05.04.2021): ``` conda install -c conda-forge swifter ```
Pandaral·lel (🥉25 · ⭐ 1.5K) - A simple and efficient tool to parallelize Pandas.. BSD-3 - [GitHub](https://github.com/nalepae/pandarallel) (👨‍💻 14 · 🔀 100 · 📦 190 · 📋 120 - 55% open · ⏱️ 04.02.2021): ``` git clone https://github.com/nalepae/pandarallel ``` - [PyPi](https://pypi.org/project/pandarallel) (📥 350K / month · ⏱️ 04.02.2021): ``` pip install pandarallel ```
Arctic (🥉24 · ⭐ 2.3K) - Arctic is a high performance datastore for numeric data. ❗️LGPL-2.1 - [GitHub](https://github.com/man-group/arctic) (👨‍💻 71 · 🔀 440 · 📥 120 · 📦 110 · 📋 530 - 16% open · ⏱️ 16.04.2021): ``` git clone https://github.com/man-group/arctic ``` - [PyPi](https://pypi.org/project/arctic) (📥 5.5K / month · 📦 42 · ⏱️ 01.12.2020): ``` pip install arctic ``` - [Conda](https://anaconda.org/conda-forge/arctic) (📥 13K · ⏱️ 16.12.2019): ``` conda install -c conda-forge arctic ```
datatable (🥉21 · ⭐ 1.2K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0 - [GitHub](https://github.com/h2oai/datatable) (👨‍💻 28 · 🔀 100 · 📥 980 · 📋 1.3K - 9% open · ⏱️ 29.04.2021): ``` git clone https://github.com/h2oai/datatable ``` - [PyPi](https://pypi.org/project/datatable) (📥 28K / month · 📦 6 · ⏱️ 10.12.2020): ``` pip install datatable ```
StaticFrame (🥉21 · ⭐ 220) - Immutable and grow-only Pandas-like DataFrames with a more explicit.. MIT - [GitHub](https://github.com/InvestmentSystems/static-frame) (👨‍💻 16 · 🔀 22 · 📦 6 · 📋 300 - 8% open · ⏱️ 26.04.2021): ``` git clone https://github.com/InvestmentSystems/static-frame ``` - [PyPi](https://pypi.org/project/static-frame) (📥 1.6K / month · ⏱️ 26.04.2021): ``` pip install static-frame ``` - [Conda](https://anaconda.org/conda-forge/static-frame) (📥 81K · ⏱️ 26.04.2021): ``` conda install -c conda-forge static-frame ```
fletcher (🥉21 · ⭐ 210) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT - [GitHub](https://github.com/xhochy/fletcher) (👨‍💻 24 · 🔀 33 · 📥 12 · 📦 3 · 📋 74 - 45% open · ⏱️ 18.02.2021): ``` git clone https://github.com/xhochy/fletcher ``` - [PyPi](https://pypi.org/project/fletcher) (📥 550 / month · ⏱️ 17.01.2021): ``` pip install fletcher ``` - [Conda](https://anaconda.org/conda-forge/fletcher) (📥 23K · ⏱️ 17.01.2021): ``` conda install -c conda-forge fletcher ```
Bounter (🥉18 · ⭐ 900 · 💤) - Efficient Counter that uses a limited (bounded) amount of memory.. MIT - [GitHub](https://github.com/RaRe-Technologies/bounter) (👨‍💻 8 · 🔀 48 · 📦 22 · 📋 20 - 55% open · ⏱️ 16.08.2020): ``` git clone https://github.com/RaRe-Technologies/bounter ``` - [PyPi](https://pypi.org/project/bounter) (📥 260 / month · 📦 14 · ⏱️ 17.08.2020): ``` pip install bounter ```
PandaPy (🥉15 · ⭐ 470) - PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x.. MIT - [GitHub](https://github.com/firmai/pandapy) (👨‍💻 3 · 🔀 47 · 📦 1 · 📋 3 - 66% open · ⏱️ 12.11.2020): ``` git clone https://github.com/firmai/pandapy ``` - [PyPi](https://pypi.org/project/pandapy) (📥 160 / month · ⏱️ 25.01.2020): ``` pip install pandapy ```
Show 5 hidden projects... - Blaze (🥉28 · ⭐ 2.9K · 💀) - NumPy and Pandas interface to Big Data. BSD-3 - sklearn-pandas (🥉28 · ⭐ 2.4K) - Pandas integration with sklearn. ❗️Zlib - pandasql (🥉22 · ⭐ 970 · 💀) - sqldf for pandas. MIT - pickleDB (🥉22 · ⭐ 560 · 💀) - pickleDB is an open source key-value store using Python's json.. BSD-3 - Pandas Summary (🥉21 · ⭐ 360 · 💀) - An extension to pandas dataframes describe function. MIT

## Data Loading & Extraction Back to top _Libraries for loading, collecting, and extracting data from a variety of data sources and formats._
Faker (🥇37 · ⭐ 12K) - Faker is a Python package that generates fake data for you. MIT - [GitHub](https://github.com/joke2k/faker) (👨‍💻 400 · 🔀 1.4K · 📦 26K · 📋 500 - 28% open · ⏱️ 29.04.2021): ``` git clone https://github.com/joke2k/faker ``` - [PyPi](https://pypi.org/project/Faker) (📥 4.1M / month · 📦 4.7K · ⏱️ 29.04.2021): ``` pip install Faker ``` - [Conda](https://anaconda.org/conda-forge/faker) (📥 420K · ⏱️ 23.04.2021): ``` conda install -c conda-forge faker ```
TensorFlow Datasets (🥇34 · ⭐ 2.8K) - TFDS is a collection of datasets ready to use with.. Apache-2 - [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 200 · 🔀 1K · 📦 4.5K · 📋 1K - 43% open · ⏱️ 29.04.2021): ``` git clone https://github.com/tensorflow/datasets ``` - [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 4.8M / month · 📦 100 · ⏱️ 07.01.2021): ``` pip install tensorflow-datasets ```
xlrd (🥇33 · ⭐ 1.9K) - Please use openpyxl where you can... BSD-3 - [GitHub](https://github.com/python-excel/xlrd) (👨‍💻 50 · 🔀 410 · 📦 70K · ⏱️ 12.12.2020): ``` git clone https://github.com/python-excel/xlrd ``` - [PyPi](https://pypi.org/project/xlrd) (📥 9.4M / month · 📦 14K · ⏱️ 11.12.2020): ``` pip install xlrd ``` - [Conda](https://anaconda.org/conda-forge/xlrd) (📥 1.4M · ⏱️ 09.01.2021): ``` conda install -c conda-forge xlrd ```
xmltodict (🥈32 · ⭐ 4.4K · 💤) - Python module that makes working with XML feel like you are.. MIT - [GitHub](https://github.com/martinblech/xmltodict) (👨‍💻 41 · 🔀 420 · 📦 24K · 📋 210 - 33% open · ⏱️ 26.04.2020): ``` git clone https://github.com/martinblech/xmltodict ``` - [PyPi](https://pypi.org/project/xmltodict) (📥 8.8M / month · 📦 8.2K · ⏱️ 11.02.2019): ``` pip install xmltodict ``` - [Conda](https://anaconda.org/conda-forge/xmltodict) (📥 830K · ⏱️ 11.02.2019): ``` conda install -c conda-forge xmltodict ```
Tablib (🥈32 · ⭐ 3.9K) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT - [GitHub](https://github.com/jazzband/tablib) (👨‍💻 110 · 🔀 560 · 📦 10K · 📋 230 - 14% open · ⏱️ 01.03.2021): ``` git clone https://github.com/jazzband/tablib ``` - [PyPi](https://pypi.org/project/tablib) (📥 1.1M / month · 📦 2.4K · ⏱️ 05.12.2020): ``` pip install tablib ``` - [Conda](https://anaconda.org/conda-forge/tablib) (📥 61K · ⏱️ 05.12.2020): ``` conda install -c conda-forge tablib ```
python-magic (🥈32 · ⭐ 1.9K) - A python wrapper for libmagic. MIT - [GitHub](https://github.com/ahupp/python-magic) (👨‍💻 50 · 🔀 220 · 📦 14K · 📋 160 - 17% open · ⏱️ 26.04.2021): ``` git clone https://github.com/ahupp/python-magic ``` - [PyPi](https://pypi.org/project/python-magic) (📥 2.5M / month · 📦 5.1K · ⏱️ 17.02.2021): ``` pip install python-magic ``` - [Conda](https://anaconda.org/conda-forge/python-magic) (📥 86K · ⏱️ 05.03.2021): ``` conda install -c conda-forge python-magic ```
Datasets (🥈30 · ⭐ 7.3K) - The largest hub of ready-to-use NLP datasets for ML models with.. Apache-2 - [GitHub](https://github.com/huggingface/datasets) (👨‍💻 260 · 🔀 860 · 📦 670 · 📋 730 - 38% open · ⏱️ 29.04.2021): ``` git clone https://github.com/huggingface/datasets ``` - [PyPi](https://pypi.org/project/datasets) (📥 120K / month · 📦 18 · ⏱️ 26.04.2021): ``` pip install datasets ```
smart-open (🥈30 · ⭐ 2K) - Utils for streaming large files (S3, HDFS, gzip, bz2...). MIT - [GitHub](https://github.com/RaRe-Technologies/smart_open) (👨‍💻 79 · 🔀 280 · 📋 300 - 18% open · ⏱️ 28.04.2021): ``` git clone https://github.com/RaRe-Technologies/smart_open ``` - [PyPi](https://pypi.org/project/smart-open) (📥 11M / month · 📦 640 · ⏱️ 30.03.2021): ``` pip install smart-open ```
pandas-datareader (🥈29 · ⭐ 2K) - Extract data from a wide range of Internet sources into.. BSD-3 - [GitHub](https://github.com/pydata/pandas-datareader) (👨‍💻 77 · 🔀 520 · 📦 9K · 📋 460 - 18% open · ⏱️ 31.12.2020): ``` git clone https://github.com/pydata/pandas-datareader ``` - [PyPi](https://pypi.org/project/pandas-datareader) (📥 230K / month · 📦 1.4K · ⏱️ 10.07.2020): ``` pip install pandas-datareader ``` - [Conda](https://anaconda.org/conda-forge/pandas-datareader) (📥 120K · ⏱️ 16.03.2021): ``` conda install -c conda-forge pandas-datareader ```
snorkel (🥉28 · ⭐ 4.6K) - A system for quickly generating training data with weak supervision. Apache-2 - [GitHub](https://github.com/snorkel-team/snorkel) (👨‍💻 64 · 🔀 740 · 📥 670 · 📦 83 · 📋 940 - 2% open · ⏱️ 13.03.2021): ``` git clone https://github.com/snorkel-team/snorkel ``` - [PyPi](https://pypi.org/project/snorkel) (📥 120K / month · 📦 8 · ⏱️ 09.03.2021): ``` pip install snorkel ``` - [Conda](https://anaconda.org/conda-forge/snorkel) (📥 18K · ⏱️ 16.03.2021): ``` conda install -c conda-forge snorkel ```
csvkit (🥉28 · ⭐ 4.6K) - A suite of utilities for converting to and working with CSV, the king of.. MIT - [GitHub](https://github.com/wireservice/csvkit) (👨‍💻 92 · 🔀 540 · 📦 860 · 📋 810 - 7% open · ⏱️ 10.03.2021): ``` git clone https://github.com/wireservice/csvkit ``` - [PyPi](https://pypi.org/project/csvkit) (📥 51K / month · 📦 700 · ⏱️ 03.03.2020): ``` pip install csvkit ``` - [Conda](https://anaconda.org/conda-forge/csvkit) (📥 49K · ⏱️ 28.05.2019): ``` conda install -c conda-forge csvkit ```
Intake (🥉26 · ⭐ 550) - Intake is a lightweight package for finding, investigating, loading and.. BSD-2 - [GitHub](https://github.com/intake/intake) (👨‍💻 60 · 🔀 99 · 📦 250 · 📋 270 - 28% open · ⏱️ 22.04.2021): ``` git clone https://github.com/intake/intake ``` - [PyPi](https://pypi.org/project/intake) (📥 9.7K / month · 📦 74 · ⏱️ 16.03.2021): ``` pip install intake ``` - [Conda](https://anaconda.org/conda-forge/intake) (📥 74K · ⏱️ 16.03.2021): ``` conda install -c conda-forge intake ```
tabulator-py (🥉26 · ⭐ 200) - Python library for reading and writing tabular data via streams. MIT - [GitHub](https://github.com/frictionlessdata/tabulator-py) (👨‍💻 25 · 🔀 42 · 📦 520 · 📋 180 - 0% open · ⏱️ 22.03.2021): ``` git clone https://github.com/frictionlessdata/tabulator-py ``` - [PyPi](https://pypi.org/project/tabulator) (📥 210K / month · 📦 100 · ⏱️ 21.03.2021): ``` pip install tabulator ``` - [Conda](https://anaconda.org/conda-forge/tabulator-py) (📥 41K · ⏱️ 24.07.2018): ``` conda install -c conda-forge tabulator-py ```
SDV (🥉22 · ⭐ 400) - Synthetic Data Generation for tabular, relational and time series data. MIT - [GitHub](https://github.com/sdv-dev/SDV) (👨‍💻 34 · 🔀 73 · 📦 21 · 📋 250 - 28% open · ⏱️ 28.04.2021): ``` git clone https://github.com/sdv-dev/SDV ``` - [PyPi](https://pypi.org/project/sdv) (📥 6.3K / month · ⏱️ 28.04.2021): ``` pip install sdv ```
datatest (🥉21 · ⭐ 240) - Tools for test driven data-wrangling and data validation. Apache-2 - [GitHub](https://github.com/shawnbrown/datatest) (👨‍💻 6 · 🔀 12 · 📦 31 · 📋 51 - 17% open · ⏱️ 26.04.2021): ``` git clone https://github.com/shawnbrown/datatest ``` - [PyPi](https://pypi.org/project/datatest) (📥 6.4K / month · 📦 2 · ⏱️ 04.01.2021): ``` pip install datatest ```
Show 8 hidden projects... - PDFMiner (🥉27 · ⭐ 4.6K · 💀) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. MIT - textract (🥉26 · ⭐ 3K · 💀) - extract text from any document. no muss. no fuss. MIT - Singer (🥉25 · ⭐ 760) - Standard for moving data between databases, web APIs, files, queues,.. ❗️AGPL-3.0 - Camelot (🥉23 · ⭐ 3K · 💀) - Camelot: PDF Table Extraction for Humans. MIT - messytables (🥉23 · ⭐ 360 · 💀) - Tools for parsing messy tabular data. This is now superseded by.. MIT - pyexcel-xlsx (🥉22 · ⭐ 88) - A wrapper library to read, manipulate and write data in xlsx and.. BSD-3 - openpyxl (🥉22 · ⭐ 19) - A Python library to read/write Excel 2010 xlsx/xlsm files. MIT - rows (🥉21 · ⭐ 750) - A common, beautiful interface to tabular data, no matter the format. ❗️LGPL-3.0

## Web Scraping & Crawling Back to top _Libraries for web scraping, crawling, downloading, and mining as well as libraries._ 🔗 best-of-web-python - Web Scraping ( ⭐ 1.2K · 🐣) - Collection of web-scraping and crawling libraries.
## Data Pipelines & Streaming Back to top _Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._
Celery (🥇39 · ⭐ 17K) - Asynchronous task queue/job queue based on distributed message passing. BSD-3 - [GitHub](https://github.com/celery/celery) (👨‍💻 1.1K · 🔀 4K · 📦 52K · 📋 4.5K - 11% open · ⏱️ 29.04.2021): ``` git clone https://github.com/celery/celery ``` - [PyPi](https://pypi.org/project/celery) (📥 5M / month · 📦 28K · ⏱️ 02.04.2021): ``` pip install celery ``` - [Conda](https://anaconda.org/conda-forge/celery) (📥 470K · ⏱️ 24.03.2021): ``` conda install -c conda-forge celery ```
Airflow (🥇36 · ⭐ 22K) - Platform to programmatically author, schedule, and monitor workflows. Apache-2 - [GitHub](https://github.com/apache/airflow) (👨‍💻 1.8K · 🔀 8.4K · 📥 120K · 📋 3.4K - 28% open · ⏱️ 29.04.2021): ``` git clone https://github.com/apache/airflow ``` - [PyPi](https://pypi.org/project/apache-airflow) (📥 1.8M / month · 📦 290 · ⏱️ 19.04.2021): ``` pip install apache-airflow ``` - [Conda](https://anaconda.org/conda-forge/airflow) (📥 310K · ⏱️ 20.04.2021): ``` conda install -c conda-forge airflow ``` - [Docker Hub](https://hub.docker.com/r/apache/airflow) (📥 19M · ⭐ 240 · ⏱️ 28.04.2021): ``` docker pull apache/airflow ```
joblib (🥇36 · ⭐ 2.4K) - Computing with Python functions. BSD-3 - [GitHub](https://github.com/joblib/joblib) (👨‍💻 99 · 🔀 290 · 📦 97K · 📋 650 - 44% open · ⏱️ 02.04.2021): ``` git clone https://github.com/joblib/joblib ``` - [PyPi](https://pypi.org/project/joblib) (📥 28M / month · 📦 6.6K · ⏱️ 09.02.2021): ``` pip install joblib ``` - [Conda](https://anaconda.org/conda-forge/joblib) (📥 3.9M · ⏱️ 09.02.2021): ``` conda install -c conda-forge joblib ```
luigi (🥇34 · ⭐ 14K) - Luigi is a Python module that helps you build complex pipelines of batch.. Apache-2 - [GitHub](https://github.com/spotify/luigi) (👨‍💻 560 · 🔀 2.2K · 📦 1.4K · 📋 920 - 7% open · ⏱️ 16.04.2021): ``` git clone https://github.com/spotify/luigi ``` - [PyPi](https://pypi.org/project/luigi) (📥 830K / month · 📦 680 · ⏱️ 23.09.2020): ``` pip install luigi ``` - [Conda](https://anaconda.org/anaconda/luigi) (📥 7K · ⏱️ 17.04.2021): ``` conda install -c anaconda luigi ```
rq (🥇34 · ⭐ 7.7K) - Simple job queues for Python. BSD-3 - [GitHub](https://github.com/rq/rq) (👨‍💻 230 · 🔀 1.2K · 📦 7.8K · 📋 840 - 17% open · ⏱️ 20.04.2021): ``` git clone https://github.com/rq/rq ``` - [PyPi](https://pypi.org/project/rq) (📥 490K / month · 📦 3.3K · ⏱️ 29.11.2020): ``` pip install rq ``` - [Conda](https://anaconda.org/conda-forge/rq) (📥 50K · ⏱️ 31.03.2021): ``` conda install -c conda-forge rq ```
Beam (🥈32 · ⭐ 4.7K) - Unified programming model to define and execute data processing.. Apache-2 - [GitHub](https://github.com/apache/beam) (👨‍💻 1K · 🔀 3K · ⏱️ 29.04.2021): ``` git clone https://github.com/apache/beam ``` - [PyPi](https://pypi.org/project/apache-beam) (📥 2.5M / month · 📦 190 · ⏱️ 27.04.2021): ``` pip install apache-beam ```
Prefect (🥈31 · ⭐ 6.2K) - The easiest way to automate your data. Apache-2 - [GitHub](https://github.com/PrefectHQ/prefect) (👨‍💻 200 · 🔀 570 · 📦 310 · 📋 1.7K - 17% open · ⏱️ 28.04.2021): ``` git clone https://github.com/PrefectHQ/prefect ``` - [PyPi](https://pypi.org/project/prefect) (📥 77K / month · 📦 2 · ⏱️ 27.04.2021): ``` pip install prefect ``` - [Conda](https://anaconda.org/conda-forge/prefect) (📥 91K · ⏱️ 14.04.2021): ``` conda install -c conda-forge prefect ```
faust (🥈29 · ⭐ 5.5K) - Python Stream Processing. BSD-3 - [GitHub](https://github.com/robinhood/faust) (👨‍💻 91 · 🔀 460 · 📦 720 · 📋 460 - 51% open · ⏱️ 09.10.2020): ``` git clone https://github.com/robinhood/faust ``` - [PyPi](https://pypi.org/project/faust) (📥 830K / month · 📦 28 · ⏱️ 25.02.2020): ``` pip install faust ```
Kedro (🥈29 · ⭐ 3.8K) - A Python framework for creating reproducible, maintainable and modular.. Apache-2 - [GitHub](https://github.com/quantumblacklabs/kedro) (👨‍💻 100 · 🔀 440 · 📦 460 · 📋 470 - 11% open · ⏱️ 26.04.2021): ``` git clone https://github.com/quantumblacklabs/kedro ``` - [PyPi](https://pypi.org/project/kedro) (📥 130K / month · 📦 16 · ⏱️ 21.04.2021): ``` pip install kedro ```
dbt (🥈29 · ⭐ 2.9K) - dbt (data build tool) enables data analysts and engineers to transform.. Apache-2 - [GitHub](https://github.com/fishtown-analytics/dbt) (👨‍💻 140 · 🔀 560 · 📦 260 · 📋 1.9K - 18% open · ⏱️ 28.04.2021): ``` git clone https://github.com/fishtown-analytics/dbt ``` - [PyPi](https://pypi.org/project/dbt) (📥 330K / month · 📦 18 · ⏱️ 28.04.2021): ``` pip install dbt ``` - [Conda](https://anaconda.org/conda-forge/dbt) (📥 160K · ⏱️ 14.05.2020): ``` conda install -c conda-forge dbt ```
mrjob (🥈29 · ⭐ 2.5K) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2 - [GitHub](https://github.com/Yelp/mrjob) (👨‍💻 140 · 🔀 590 · 📦 720 · 📋 1.3K - 15% open · ⏱️ 16.11.2020): ``` git clone https://github.com/Yelp/mrjob ``` - [PyPi](https://pypi.org/project/mrjob) (📥 99K / month · 📦 110 · ⏱️ 17.09.2020): ``` pip install mrjob ``` - [Conda](https://anaconda.org/conda-forge/mrjob) (📥 350K · ⏱️ 24.12.2020): ``` conda install -c conda-forge mrjob ```
Dagster (🥈28 · ⭐ 3.2K) - A data orchestrator for machine learning, analytics, and ETL. Apache-2 - [GitHub](https://github.com/dagster-io/dagster) (👨‍💻 130 · 🔀 340 · 📦 160 · 📋 2.9K - 19% open · ⏱️ 29.04.2021): ``` git clone https://github.com/dagster-io/dagster ``` - [PyPi](https://pypi.org/project/dagster) (📥 53K / month · 📦 4 · ⏱️ 23.04.2021): ``` pip install dagster ``` - [Conda](https://anaconda.org/conda-forge/dagster) (📥 220K · ⏱️ 28.04.2021): ``` conda install -c conda-forge dagster ```
PyFunctional (🥈27 · ⭐ 1.8K) - Python library for creating data pipelines with chain functional.. MIT - [GitHub](https://github.com/EntilZha/PyFunctional) (👨‍💻 23 · 🔀 99 · 📦 280 · 📋 120 - 2% open · ⏱️ 03.03.2021): ``` git clone https://github.com/EntilZha/PyFunctional ``` - [PyPi](https://pypi.org/project/pyfunctional) (📥 71K / month · ⏱️ 12.01.2021): ``` pip install pyfunctional ```
petl (🥈27 · ⭐ 880) - Python Extract Transform and Load Tables of Data. MIT - [GitHub](https://github.com/petl-developers/petl) (👨‍💻 46 · 🔀 150 · 📦 380 · 📋 410 - 16% open · ⏱️ 17.04.2021): ``` git clone https://github.com/petl-developers/petl ``` - [PyPi](https://pypi.org/project/petl) (📥 34K / month · 📦 110 · ⏱️ 27.03.2021): ``` pip install petl ``` - [Conda](https://anaconda.org/conda-forge/petl) (📥 23K · ⏱️ 05.04.2021): ``` conda install -c conda-forge petl ```
Hub (🥈26 · ⭐ 3.2K) - Fastest unstructured dataset management for TensorFlow/PyTorch... MPL-2.0 - [GitHub](https://github.com/activeloopai/Hub) (👨‍💻 76 · 🔀 240 · 📦 120 · 📋 250 - 9% open · ⏱️ 29.04.2021): ``` git clone https://github.com/activeloopai/Hub ``` - [PyPi](https://pypi.org/project/hub) (📥 3K / month · 📦 52 · ⏱️ 29.04.2021): ``` pip install hub ```
TFX (🥈26 · ⭐ 1.4K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 - [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 110 · 🔀 420 · 📋 600 - 40% open · ⏱️ 29.04.2021): ``` git clone https://github.com/tensorflow/tfx ``` - [PyPi](https://pypi.org/project/tfx) (📥 220K / month · 📦 4 · ⏱️ 01.04.2021): ``` pip install tfx ```
Great Expectations (🥉25 · ⭐ 4.3K) - Always know what to expect from your data. Apache-2 - [GitHub](https://github.com/great-expectations/great_expectations) (👨‍💻 180 · 🔀 530 · 📋 860 - 25% open · ⏱️ 27.04.2021): ``` git clone https://github.com/great-expectations/great_expectations ``` - [PyPi](https://pypi.org/project/great_expectations) (📥 640K / month · 📦 6 · ⏱️ 23.04.2021): ``` pip install great_expectations ```
bonobo (🥉24 · ⭐ 1.4K) - Extract Transform Load for Python 3.5+. Apache-2 - [GitHub](https://github.com/python-bonobo/bonobo) (👨‍💻 37 · 🔀 120 · 📦 110 · 📋 180 - 38% open · ⏱️ 10.03.2021): ``` git clone https://github.com/python-bonobo/bonobo ``` - [PyPi](https://pypi.org/project/bonobo) (📥 9.4K / month · 📦 52 · ⏱️ 20.07.2019): ``` pip install bonobo ```
Optimus (🥉24 · ⭐ 1K) - Agile Data Preparation Workflows madeeasy with pandas, dask,.. Apache-2 - [GitHub](https://github.com/ironmussa/Optimus) (👨‍💻 21 · 🔀 190 · 📦 14 · 📋 310 - 45% open · ⏱️ 27.04.2021): ``` git clone https://github.com/ironmussa/Optimus ``` - [PyPi](https://pypi.org/project/optimuspyspark) (📥 8.2K / month · ⏱️ 30.05.2019): ``` pip install optimuspyspark ```
pysparkling (🥉24 · ⭐ 230) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT - [GitHub](https://github.com/svenkreiss/pysparkling) (👨‍💻 10 · 🔀 45 · 📦 62 · 📋 28 - 25% open · ⏱️ 22.02.2021): ``` git clone https://github.com/svenkreiss/pysparkling ``` - [PyPi](https://pypi.org/project/pysparkling) (📥 13K / month · 📦 14 · ⏱️ 10.01.2021): ``` pip install pysparkling ```
streamparse (🥉23 · ⭐ 1.4K) - Run Python in Apache Storm topologies. Pythonic API, CLI.. Apache-2 - [GitHub](https://github.com/Parsely/streamparse) (👨‍💻 40 · 🔀 220 · 📦 48 · 📋 330 - 20% open · ⏱️ 18.12.2020): ``` git clone https://github.com/Parsely/streamparse ``` - [PyPi](https://pypi.org/project/streamparse) (📥 2.9K / month · 📦 52 · ⏱️ 07.10.2020): ``` pip install streamparse ```
Pypeline (🥉23 · ⭐ 1.2K) - Concurrent data pipelines in Python . MIT - [GitHub](https://github.com/cgarciae/pypeln) (👨‍💻 10 · 🔀 69 · 📋 50 - 28% open · ⏱️ 13.04.2021): ``` git clone https://github.com/cgarciae/pypeln ``` - [PyPi](https://pypi.org/project/pypeln) (📥 26K / month · 📦 10 · ⏱️ 05.01.2021): ``` pip install pypeln ```
dpark (🥉21 · ⭐ 2.7K) - Python clone of Spark, a MapReduce alike framework in Python. BSD-3 - [GitHub](https://github.com/douban/dpark) (👨‍💻 35 · 🔀 550 · 📦 3 · ⏱️ 25.12.2020): ``` git clone https://github.com/douban/dpark ``` - [PyPi](https://pypi.org/project/dpark) (📥 190 / month · 📦 1 · ⏱️ 27.07.2018): ``` pip install dpark ```
pdpipe (🥉21 · ⭐ 600) - Easy pipelines for pandas DataFrames. MIT - [GitHub](https://github.com/pdpipe/pdpipe) (👨‍💻 8 · 🔀 27 · 📦 29 · 📋 21 - 28% open · ⏱️ 23.02.2021): ``` git clone https://github.com/pdpipe/pdpipe ``` - [PyPi](https://pypi.org/project/pdpipe) (📥 2.3K / month · ⏱️ 09.11.2020): ``` pip install pdpipe ```
ploomber (🥉21 · ⭐ 270) - Lean Data Science workflows: develop and test locally. Deploy to.. Apache-2 - [GitHub](https://github.com/ploomber/ploomber) (👨‍💻 4 · 🔀 4 · 📦 13 · 📋 290 - 13% open · ⏱️ 24.04.2021): ``` git clone https://github.com/ploomber/ploomber ``` - [PyPi](https://pypi.org/project/ploomber) (📥 2.9K / month · ⏱️ 18.04.2021): ``` pip install ploomber ```
TaskTiger (🥉20 · ⭐ 1.1K) - Python task queue using Redis. MIT - [GitHub](https://github.com/closeio/tasktiger) (👨‍💻 22 · 🔀 59 · 📦 20 · 📋 68 - 52% open · ⏱️ 21.04.2021): ``` git clone https://github.com/closeio/tasktiger ``` - [PyPi](https://pypi.org/project/tasktiger) (📥 890 / month · 📦 18 · ⏱️ 16.04.2021): ``` pip install tasktiger ```
Databolt Flow (🥉20 · ⭐ 910) - Python library for building highly effective data science workflows. MIT - [GitHub](https://github.com/d6t/d6tflow) (👨‍💻 12 · 🔀 67 · 📦 13 · 📋 20 - 40% open · ⏱️ 28.04.2021): ``` git clone https://github.com/d6t/d6tflow ``` - [PyPi](https://pypi.org/project/d6tflow) (📥 390 / month · ⏱️ 17.03.2021): ``` pip install d6tflow ```
mrq (🥉20 · ⭐ 840) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent. MIT - [GitHub](https://github.com/pricingassistant/mrq) (👨‍💻 37 · 🔀 110 · 📦 23 · 📋 180 - 33% open · ⏱️ 13.12.2020): ``` git clone https://github.com/pricingassistant/mrq ``` - [PyPi](https://pypi.org/project/mrq) (📥 840 / month · 📦 12 · ⏱️ 31.08.2018): ``` pip install mrq ```
Mara Pipelines (🥉19 · ⭐ 1.7K) - A lightweight opinionated ETL framework, halfway between plain.. MIT - [GitHub](https://github.com/mara/mara-pipelines) (👨‍💻 16 · 🔀 80 · 📦 7 · 📋 23 - 47% open · ⏱️ 08.03.2021): ``` git clone https://github.com/mara/mara-pipelines ``` - [PyPi](https://pypi.org/project/mara-pipelines) (📥 180 / month · ⏱️ 23.01.2021): ``` pip install mara-pipelines ```
flupy (🥉19 · ⭐ 160) - Fluent data pipelines for python and your shell. MIT - [GitHub](https://github.com/olirice/flupy) (👨‍💻 4 · 🔀 9 · ⏱️ 09.03.2021): ``` git clone https://github.com/olirice/flupy ``` - [PyPi](https://pypi.org/project/flupy) (📥 20K / month · ⏱️ 06.01.2021): ``` pip install flupy ```
riko (🥉18 · ⭐ 1.6K · 💤) - A Python stream processing engine modeled after Yahoo! Pipes. MIT - [GitHub](https://github.com/nerevu/riko) (👨‍💻 18 · 🔀 72 · 📋 30 - 73% open · ⏱️ 14.08.2020): ``` git clone https://github.com/nerevu/riko ``` - [PyPi](https://pypi.org/project/riko) (📥 500 / month · 📦 1 · ⏱️ 14.08.2020): ``` pip install riko ```
BatchFlow (🥉18 · ⭐ 160) - BatchFlow helps you conveniently work with random or sequential.. Apache-2 - [GitHub](https://github.com/analysiscenter/batchflow) (👨‍💻 29 · 🔀 36 · 📋 110 - 41% open · ⏱️ 22.04.2021): ``` git clone https://github.com/analysiscenter/batchflow ``` - [PyPi](https://pypi.org/project/batchflow) (📥 130 / month · ⏱️ 05.03.2021): ``` pip install batchflow ```
spark-deep-learning (🥉17 · ⭐ 1.8K) - Deep Learning Pipelines for Apache Spark. Apache-2 - [GitHub](https://github.com/databricks/spark-deep-learning) (👨‍💻 15 · 🔀 440 · 📦 17 · 📋 100 - 73% open · ⏱️ 20.01.2021): ``` git clone https://github.com/databricks/spark-deep-learning ```
zenml (🥉16 · ⭐ 1.1K · 🐣) - ZenML : MLOps framework to create reproducible ML pipelines for.. Apache-2 - [GitHub](https://github.com/maiot-io/zenml) (👨‍💻 11 · 🔀 55 · 📦 1 · 📋 44 - 36% open · ⏱️ 29.04.2021): ``` git clone https://github.com/maiot-io/zenml ``` - [PyPi](https://pypi.org/project/zenml) (📥 520 / month · ⏱️ 22.04.2021): ``` pip install zenml ```
Show 2 hidden projects... - Botflow (🥉16 · ⭐ 1.2K · 💀) - Python Fast Dataflow programming framework for Data pipeline work(.. BSD-3 - bodywork-core (🥉10 · ⭐ 200 · 🐣) - MLOps tool for deploying machine learning projects to.. ❗️AGPL-3.0

## Distributed Machine Learning Back to top _Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._
dask (🥇34 · ⭐ 8.3K) - Parallel computing with task scheduling. BSD-3 - [GitHub](https://github.com/dask/dask) (👨‍💻 440 · 🔀 1.3K · 📦 27K · 📋 3.7K - 20% open · ⏱️ 28.04.2021): ``` git clone https://github.com/dask/dask ``` - [PyPi](https://pypi.org/project/dask) (📥 4.5M / month · 📦 3.9K · ⏱️ 23.04.2021): ``` pip install dask ``` - [Conda](https://anaconda.org/conda-forge/dask) (📥 3.3M · ⏱️ 24.04.2021): ``` conda install -c conda-forge dask ```
Ray (🥇32 · ⭐ 16K) - An open source framework that provides a simple, universal API for.. Apache-2 - [GitHub](https://github.com/ray-project/ray) (👨‍💻 470 · 🔀 2.6K · 📦 2K · 📋 6.7K - 22% open · ⏱️ 29.04.2021): ``` git clone https://github.com/ray-project/ray ``` - [PyPi](https://pypi.org/project/ray) (📥 390K / month · 📦 160 · ⏱️ 22.04.2021): ``` pip install ray ```
dask.distributed (🥇32 · ⭐ 1.2K · 📈) - A distributed task scheduler for Dask. BSD-3 - [GitHub](https://github.com/dask/distributed) (👨‍💻 240 · 🔀 520 · 📦 18K · 📋 2.1K - 37% open · ⏱️ 29.04.2021): ``` git clone https://github.com/dask/distributed ``` - [PyPi](https://pypi.org/project/distributed) (📥 3.3M / month · 📦 1.8K · ⏱️ 23.04.2021): ``` pip install distributed ``` - [Conda](https://anaconda.org/conda-forge/distributed) (📥 4.2M · ⏱️ 23.04.2021): ``` conda install -c conda-forge distributed ```
horovod (🥈29 · ⭐ 11K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 - [GitHub](https://github.com/horovod/horovod) (👨‍💻 120 · 🔀 1.8K · 📦 360 · 📋 1.8K - 12% open · ⏱️ 29.04.2021): ``` git clone https://github.com/horovod/horovod ``` - [PyPi](https://pypi.org/project/horovod) (📥 52K / month · 📦 40 · ⏱️ 15.02.2021): ``` pip install horovod ```
Mesh (🥈27 · ⭐ 990) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - [GitHub](https://github.com/tensorflow/mesh) (👨‍💻 41 · 🔀 160 · 📦 520 · 📋 92 - 85% open · ⏱️ 27.04.2021): ``` git clone https://github.com/tensorflow/mesh ``` - [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 120K / month · 📦 56 · ⏱️ 24.03.2021): ``` pip install mesh-tensorflow ```
ipyparallel (🥈26 · ⭐ 2K) - Interactive Parallel Computing in Python. BSD-3 - [GitHub](https://github.com/ipython/ipyparallel) (👨‍💻 98 · 🔀 770 · 📦 1.5K · 📋 250 - 57% open · ⏱️ 29.04.2021): ``` git clone https://github.com/ipython/ipyparallel ``` - [PyPi](https://pypi.org/project/ipyparallel) (📥 180K / month · 📦 490 · ⏱️ 05.05.2020): ``` pip install ipyparallel ``` - [Conda](https://anaconda.org/conda-forge/ipyparallel) (📥 430K · ⏱️ 22.01.2021): ``` conda install -c conda-forge ipyparallel ```
Elephas (🥈26 · ⭐ 1.5K) - Distributed Deep learning with Keras & Spark. MIT keras - [GitHub](https://github.com/maxpumperla/elephas) (👨‍💻 27 · 🔀 290 · 📦 40 · 📋 140 - 15% open · ⏱️ 21.04.2021): ``` git clone https://github.com/maxpumperla/elephas ``` - [PyPi](https://pypi.org/project/elephas) (📥 15K / month · 📦 3 · ⏱️ 21.04.2021): ``` pip install elephas ```
petastorm (🥈26 · ⭐ 1.1K) - Petastorm library enables single machine or distributed training.. Apache-2 - [GitHub](https://github.com/uber/petastorm) (👨‍💻 38 · 🔀 200 · 📥 290 · 📦 29 · 📋 250 - 53% open · ⏱️ 28.04.2021): ``` git clone https://github.com/uber/petastorm ``` - [PyPi](https://pypi.org/project/petastorm) (📥 95K / month · ⏱️ 28.04.2021): ``` pip install petastorm ```
DeepSpeed (🥈25 · ⭐ 4.8K) - DeepSpeed is a deep learning optimization library that makes.. MIT - [GitHub](https://github.com/microsoft/DeepSpeed) (👨‍💻 49 · 🔀 450 · 📦 26 · 📋 430 - 44% open · ⏱️ 29.04.2021): ``` git clone https://github.com/microsoft/DeepSpeed ``` - [PyPi](https://pypi.org/project/deepspeed) (📥 41K / month · ⏱️ 19.04.2021): ``` pip install deepspeed ``` - [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 8.2K · ⭐ 2 · ⏱️ 20.02.2021): ``` docker pull deepspeed/deepspeed ```
BigDL (🥈25 · ⭐ 3.7K) - BigDL: Distributed Deep Learning Framework for Apache Spark. Apache-2 - [GitHub](https://github.com/intel-analytics/BigDL) (👨‍💻 72 · 🔀 910 · 📦 25 · 📋 910 - 20% open · ⏱️ 21.04.2021): ``` git clone https://github.com/intel-analytics/BigDL ``` - [PyPi](https://pypi.org/project/bigdl) (📥 2.3K / month · 📦 6 · ⏱️ 07.04.2021): ``` pip install bigdl ``` - [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (⏱️ 20.04.2021): ``` com.intel.analytics.bigdl bigdl-SPARK_2.4 [VERSION] ```
TensorFlowOnSpark (🥈25 · ⭐ 3.7K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (👨‍💻 33 · 🔀 940 · 📋 350 - 3% open · ⏱️ 29.03.2021): ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` - [PyPi](https://pypi.org/project/tensorflowonspark) (📥 180K / month · 📦 5 · ⏱️ 19.03.2021): ``` pip install tensorflowonspark ```
dask-ml (🥈25 · ⭐ 700) - Scalable Machine Learning with Dask. BSD-3 - [GitHub](https://github.com/dask/dask-ml) (👨‍💻 64 · 🔀 190 · 📦 380 · 📋 410 - 45% open · ⏱️ 17.04.2021): ``` git clone https://github.com/dask/dask-ml ``` - [PyPi](https://pypi.org/project/dask-ml) (📥 71K / month · 📦 42 · ⏱️ 30.01.2021): ``` pip install dask-ml ``` - [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 210K · ⏱️ 30.01.2021): ``` conda install -c conda-forge dask-ml ```
mpi4py (🥈25 · ⭐ 400) - Python bindings for MPI. BSD-3 - [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 16 · 🔀 66 · 📥 1K · 📋 24 - 33% open · ⏱️ 31.03.2021): ``` git clone https://github.com/mpi4py/mpi4py ``` - [PyPi](https://pypi.org/project/mpi4py) (📥 240K / month · 📦 750 · ⏱️ 04.11.2019): ``` pip install mpi4py ``` - [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 610K · ⏱️ 29.04.2021): ``` conda install -c conda-forge mpi4py ```
analytics-zoo (🥉23 · ⭐ 2.3K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 - [GitHub](https://github.com/intel-analytics/analytics-zoo) (👨‍💻 90 · 🔀 660 · 📦 2 · 📋 1.1K - 44% open · ⏱️ 29.04.2021): ``` git clone https://github.com/intel-analytics/analytics-zoo ``` - [PyPi](https://pypi.org/project/analytics-zoo) (📥 2.1K / month · ⏱️ 26.04.2021): ``` pip install analytics-zoo ```
FairScale (🥉23 · ⭐ 1K) - PyTorch extensions for high performance and large scale training. BSD-3 - [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 29 · 🔀 74 · 📦 15 · 📋 160 - 23% open · ⏱️ 28.04.2021): ``` git clone https://github.com/facebookresearch/fairscale ``` - [PyPi](https://pypi.org/project/fairscale) (📥 18K / month · ⏱️ 26.04.2021): ``` pip install fairscale ```
MMLSpark (🥉22 · ⭐ 2.3K) - Microsoft Machine Learning for Apache Spark. MIT - [GitHub](https://github.com/Azure/mmlspark) (👨‍💻 64 · 🔀 500 · 📋 430 - 47% open · ⏱️ 27.04.2021): ``` git clone https://github.com/Azure/mmlspark ``` - [PyPi](https://pypi.org/project/mmlspark) (📥 42K / month · ⏱️ 18.03.2020): ``` pip install mmlspark ```
Submit it (🥉21 · ⭐ 350) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT - [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 11 · 🔀 22 · 📦 120 · 📋 36 - 36% open · ⏱️ 01.04.2021): ``` git clone https://github.com/facebookincubator/submitit ``` - [PyPi](https://pypi.org/project/submitit) (📥 5K / month · ⏱️ 08.04.2021): ``` pip install submitit ``` - [Conda](https://anaconda.org/conda-forge/submitit) (📥 2.4K · ⏱️ 10.02.2021): ``` conda install -c conda-forge submitit ```
BytePS (🥉19 · ⭐ 2.8K) - A high performance and generic framework for distributed DNN training. Apache-2 - [GitHub](https://github.com/bytedance/byteps) (👨‍💻 19 · 🔀 380 · 📋 230 - 37% open · ⏱️ 21.04.2021): ``` git clone https://github.com/bytedance/byteps ``` - [PyPi](https://pypi.org/project/byteps) (📥 200 / month · ⏱️ 04.11.2020): ``` pip install byteps ``` - [Docker Hub](https://hub.docker.com/r/bytepsimage/tensorflow) (📥 1.1K · ⏱️ 03.03.2020): ``` docker pull bytepsimage/tensorflow ```
Apache Singa (🥉19 · ⭐ 2.2K) - a distributed deep learning platform. Apache-2 - [GitHub](https://github.com/apache/singa) (👨‍💻 70 · 🔀 610 · 📦 1 · 📋 75 - 53% open · ⏱️ 15.01.2021): ``` git clone https://github.com/apache/singa ``` - [Conda](https://anaconda.org/nusdbsystem/singa) (📥 270 · ⏱️ 20.01.2021): ``` conda install -c nusdbsystem singa ``` - [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 160 · ⭐ 2 · ⏱️ 04.06.2019): ``` docker pull apache/singa ```
Fiber (🥉19 · ⭐ 880) - Distributed Computing for AI Made Simple. Apache-2 - [GitHub](https://github.com/uber/fiber) (👨‍💻 5 · 🔀 95 · 📦 26 · 📋 21 - 61% open · ⏱️ 15.03.2021): ``` git clone https://github.com/uber/fiber ``` - [PyPi](https://pypi.org/project/fiber) (📥 1.7K / month · 📦 1 · ⏱️ 09.07.2020): ``` pip install fiber ```
Hivemind (🥉19 · ⭐ 680) - Decentralized deep learning in PyTorch. Built to train models on.. MIT - [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 16 · 🔀 41 · 📦 2 · 📋 76 - 56% open · ⏱️ 28.04.2021): ``` git clone https://github.com/learning-at-home/hivemind ``` - [PyPi](https://pypi.org/project/hivemind) (📥 230 / month · 📦 1 · ⏱️ 27.04.2021): ``` pip install hivemind ```
sk-dist (🥉19 · ⭐ 260) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - [GitHub](https://github.com/Ibotta/sk-dist) (👨‍💻 6 · 🔀 44 · 📦 6 · 📋 16 - 43% open · ⏱️ 01.03.2021): ``` git clone https://github.com/Ibotta/sk-dist ``` - [PyPi](https://pypi.org/project/sk-dist) (📥 11K / month · 📦 2 · ⏱️ 14.05.2020): ``` pip install sk-dist ```
somoclu (🥉18 · ⭐ 230 · 💤) - Massively parallel self-organizing maps: accelerate training on.. MIT - [GitHub](https://github.com/peterwittek/somoclu) (👨‍💻 17 · 🔀 56 · 📥 1.5K · 📋 130 - 20% open · ⏱️ 24.07.2020): ``` git clone https://github.com/peterwittek/somoclu ``` - [PyPi](https://pypi.org/project/somoclu) (📥 1.2K / month · 📦 4 · ⏱️ 25.04.2020): ``` pip install somoclu ``` - [Conda](https://anaconda.org/conda-forge/somoclu) (📥 46K · ⏱️ 13.10.2020): ``` conda install -c conda-forge somoclu ```
Show 3 hidden projects... - DEAP (🥈28 · ⭐ 4.2K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - TensorFrames (🥉19 · ⭐ 770 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - LazyCluster (🥉14 · ⭐ 37) - Distributed machine learning made simple. Apache-2

## Hyperparameter Optimization & AutoML Back to top _Libraries for hyperparameter optimization, automl and neural architecture search._
Optuna (🥇32 · ⭐ 4.5K · 📈) - A hyperparameter optimization framework. MIT - [GitHub](https://github.com/optuna/optuna) (👨‍💻 130 · 🔀 500 · 📦 1.2K · 📋 800 - 23% open · ⏱️ 28.04.2021): ``` git clone https://github.com/optuna/optuna ``` - [PyPi](https://pypi.org/project/optuna) (📥 460K / month · 📦 52 · ⏱️ 05.04.2021): ``` pip install optuna ``` - [Conda](https://anaconda.org/conda-forge/optuna) (📥 25K · ⏱️ 05.04.2021): ``` conda install -c conda-forge optuna ```
Hyperopt (🥇30 · ⭐ 5.6K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 - [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 87 · 🔀 880 · 📦 3.2K · 📋 560 - 60% open · ⏱️ 24.03.2021): ``` git clone https://github.com/hyperopt/hyperopt ``` - [PyPi](https://pypi.org/project/hyperopt) (📥 910K / month · 📦 500 · ⏱️ 07.10.2020): ``` pip install hyperopt ``` - [Conda](https://anaconda.org/conda-forge/hyperopt) (📥 200K · ⏱️ 14.10.2020): ``` conda install -c conda-forge hyperopt ```
scikit-optimize (🥇30 · ⭐ 2.1K) - Sequential model-based optimization with a `scipy.optimize`.. BSD-3 - [GitHub](https://github.com/scikit-optimize/scikit-optimize) (👨‍💻 70 · 🔀 400 · 📦 1.6K · 📋 570 - 36% open · ⏱️ 14.04.2021): ``` git clone https://github.com/scikit-optimize/scikit-optimize ``` - [PyPi](https://pypi.org/project/scikit-optimize) (📥 1.4M / month · 📦 160 · ⏱️ 04.09.2020): ``` pip install scikit-optimize ``` - [Conda](https://anaconda.org/conda-forge/scikit-optimize) (📥 280K · ⏱️ 04.09.2020): ``` conda install -c conda-forge scikit-optimize ```
AutoKeras (🥇28 · ⭐ 7.9K) - AutoML library for deep learning. Apache-2 - [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 130 · 🔀 1.3K · 📦 170 · 📋 730 - 8% open · ⏱️ 18.03.2021): ``` git clone https://github.com/keras-team/autokeras ``` - [PyPi](https://pypi.org/project/autokeras) (📥 10K / month · 📦 7 · ⏱️ 30.11.2020): ``` pip install autokeras ```
Bayesian Optimization (🥇28 · ⭐ 5.1K) - A Python implementation of global optimization with.. MIT - [GitHub](https://github.com/fmfn/BayesianOptimization) (👨‍💻 27 · 🔀 1.1K · 📥 54 · 📦 710 · 📋 210 - 19% open · ⏱️ 19.12.2020): ``` git clone https://github.com/fmfn/BayesianOptimization ``` - [PyPi](https://pypi.org/project/bayesian-optimization) (📥 100K / month · 📦 92 · ⏱️ 16.05.2020): ``` pip install bayesian-optimization ```
Keras Tuner (🥇28 · ⭐ 2.3K) - Hyperparameter tuning for humans. Apache-2 - [GitHub](https://github.com/keras-team/keras-tuner) (👨‍💻 35 · 🔀 270 · 📦 540 · 📋 300 - 48% open · ⏱️ 06.04.2021): ``` git clone https://github.com/keras-team/keras-tuner ``` - [PyPi](https://pypi.org/project/keras-tuner) (📥 370K / month · 📦 4 · ⏱️ 20.11.2020): ``` pip install keras-tuner ```
NNI (🥈27 · ⭐ 9.5K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - [GitHub](https://github.com/microsoft/nni) (👨‍💻 130 · 🔀 1.3K · 📦 110 · 📋 1.2K - 21% open · ⏱️ 28.04.2021): ``` git clone https://github.com/microsoft/nni ``` - [PyPi](https://pypi.org/project/nni) (📥 3.4K / month · 📦 16 · ⏱️ 26.04.2021): ``` pip install nni ```
auto-sklearn (🥈27 · ⭐ 5.4K) - Automated Machine Learning with scikit-learn. BSD-3 - [GitHub](https://github.com/automl/auto-sklearn) (👨‍💻 66 · 🔀 1K · 📦 160 · 📋 710 - 14% open · ⏱️ 17.04.2021): ``` git clone https://github.com/automl/auto-sklearn ``` - [PyPi](https://pypi.org/project/auto-sklearn) (📥 23K / month · 📦 30 · ⏱️ 20.04.2021): ``` pip install auto-sklearn ```
Ax (🥈27 · ⭐ 1.5K) - Adaptive Experimentation Platform. MIT - [GitHub](https://github.com/facebook/Ax) (👨‍💻 96 · 🔀 150 · 📦 160 · 📋 270 - 15% open · ⏱️ 28.04.2021): ``` git clone https://github.com/facebook/Ax ``` - [PyPi](https://pypi.org/project/ax-platform) (📥 43K / month · 📦 4 · ⏱️ 24.02.2021): ``` pip install ax-platform ```
featuretools (🥈26 · ⭐ 5.5K) - An open source python library for automated feature engineering. BSD-3 - [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 49 · 🔀 720 · 📦 720 · 📋 540 - 21% open · ⏱️ 26.04.2021): ``` git clone https://github.com/alteryx/featuretools ``` - [PyPi](https://pypi.org/project/featuretools) (📥 220K / month · 📦 70 · ⏱️ 31.03.2021): ``` pip install featuretools ``` - [Conda](https://anaconda.org/conda-forge/featuretools) (📥 51K · ⏱️ 07.04.2021): ``` conda install -c conda-forge featuretools ```
AutoGluon (🥈26 · ⭐ 3.1K) - AutoGluon: AutoML for Text, Image, and Tabular Data. Apache-2 - [GitHub](https://github.com/awslabs/autogluon) (👨‍💻 56 · 🔀 400 · 📦 50 · 📋 450 - 29% open · ⏱️ 29.04.2021): ``` git clone https://github.com/awslabs/autogluon ``` - [PyPi](https://pypi.org/project/autogluon) (📥 30K / month · ⏱️ 29.04.2021): ``` pip install autogluon ```
nevergrad (🥈26 · ⭐ 2.9K) - A Python toolbox for performing gradient-free optimization. MIT - [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 42 · 🔀 280 · 📦 160 · 📋 210 - 39% open · ⏱️ 26.04.2021): ``` git clone https://github.com/facebookresearch/nevergrad ``` - [PyPi](https://pypi.org/project/nevergrad) (📥 28K / month · 📦 14 · ⏱️ 19.04.2021): ``` pip install nevergrad ``` - [Conda](https://anaconda.org/conda-forge/nevergrad) (📥 8K · ⏱️ 14.12.2020): ``` conda install -c conda-forge nevergrad ```
BoTorch (🥈26 · ⭐ 1.9K) - Bayesian optimization in PyTorch. MIT - [GitHub](https://github.com/pytorch/botorch) (👨‍💻 53 · 🔀 200 · 📦 110 · 📋 180 - 24% open · ⏱️ 27.04.2021): ``` git clone https://github.com/pytorch/botorch ``` - [PyPi](https://pypi.org/project/botorch) (📥 57K / month · ⏱️ 08.12.2020): ``` pip install botorch ```
SMAC3 (🥈26 · ⭐ 580) - Sequential Model-based Algorithm Configuration. BSD-3 - [GitHub](https://github.com/automl/SMAC3) (👨‍💻 30 · 🔀 160 · 📋 330 - 23% open · ⏱️ 29.10.2020): ``` git clone https://github.com/automl/SMAC3 ``` - [PyPi](https://pypi.org/project/smac) (📥 35K / month · 📦 58 · ⏱️ 29.10.2020): ``` pip install smac ```
Hyperas (🥈25 · ⭐ 2.1K) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - [GitHub](https://github.com/maxpumperla/hyperas) (👨‍💻 21 · 🔀 300 · 📦 200 · 📋 250 - 35% open · ⏱️ 22.12.2020): ``` git clone https://github.com/maxpumperla/hyperas ``` - [PyPi](https://pypi.org/project/hyperas) (📥 39K / month · 📦 42 · ⏱️ 28.02.2019): ``` pip install hyperas ```
GPyOpt (🥈24 · ⭐ 730) - Gaussian Process Optimization using GPy. BSD-3 - [GitHub](https://github.com/SheffieldML/GPyOpt) (👨‍💻 49 · 🔀 220 · 📦 190 · 📋 290 - 34% open · ⏱️ 05.11.2020): ``` git clone https://github.com/SheffieldML/GPyOpt ``` - [PyPi](https://pypi.org/project/gpyopt) (📥 12K / month · 📦 36 · ⏱️ 19.03.2020): ``` pip install gpyopt ```
Orion (🥈24 · ⭐ 190) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - [GitHub](https://github.com/Epistimio/orion) (👨‍💻 23 · 🔀 40 · 📦 40 · 📋 150 - 25% open · ⏱️ 24.04.2021): ``` git clone https://github.com/Epistimio/orion ``` - [PyPi](https://pypi.org/project/orion) (📥 3.1K / month · 📦 8 · ⏱️ 08.04.2021): ``` pip install orion ```
Talos (🥉23 · ⭐ 1.4K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT - [GitHub](https://github.com/autonomio/talos) (👨‍💻 19 · 🔀 230 · 📦 110 · 📋 390 - 10% open · ⏱️ 21.11.2020): ``` git clone https://github.com/autonomio/talos ``` - [PyPi](https://pypi.org/project/talos) (📥 2.3K / month · 📦 6 · ⏱️ 09.11.2020): ``` pip install talos ```
AdaNet (🥉22 · ⭐ 3.3K · 💤) - Fast and flexible AutoML with learning guarantees. Apache-2 - [GitHub](https://github.com/tensorflow/adanet) (👨‍💻 26 · 🔀 510 · 📦 36 · 📋 110 - 58% open · ⏱️ 09.07.2020): ``` git clone https://github.com/tensorflow/adanet ``` - [PyPi](https://pypi.org/project/adanet) (📥 1.2K / month · 📦 2 · ⏱️ 09.07.2020): ``` pip install adanet ```
mljar-supervised (🥉22 · ⭐ 1.1K) - Automated Machine Learning Pipeline with Feature Engineering.. MIT - [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 9 · 🔀 130 · 📦 10 · 📋 380 - 14% open · ⏱️ 29.04.2021): ``` git clone https://github.com/mljar/mljar-supervised ``` - [PyPi](https://pypi.org/project/mljar-supervised) (📥 3.7K / month · ⏱️ 01.04.2021): ``` pip install mljar-supervised ```
lazypredict (🥉22 · ⭐ 450) - Lazy Predict help build a lot of basic models without much code.. MIT - [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 12 · 🔀 93 · 📦 57 · 📋 47 - 36% open · ⏱️ 10.04.2021): ``` git clone https://github.com/shankarpandala/lazypredict ``` - [PyPi](https://pypi.org/project/lazypredict) (📥 4K / month · ⏱️ 17.02.2021): ``` pip install lazypredict ```
Neuraxle (🥉21 · ⭐ 400) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML in.. Apache-2 - [GitHub](https://github.com/Neuraxio/Neuraxle) (👨‍💻 7 · 🔀 42 · 📦 18 · 📋 280 - 47% open · ⏱️ 28.04.2021): ``` git clone https://github.com/Neuraxio/Neuraxle ``` - [PyPi](https://pypi.org/project/neuraxle) (📥 420 / month · ⏱️ 25.02.2021): ``` pip install neuraxle ```
optunity (🥉21 · ⭐ 370 · 💤) - optimization routines for hyperparameter tuning. BSD-3 - [GitHub](https://github.com/claesenm/optunity) (👨‍💻 9 · 🔀 73 · 📥 64 · 📦 60 · 📋 94 - 48% open · ⏱️ 11.05.2020): ``` git clone https://github.com/claesenm/optunity ``` - [PyPi](https://pypi.org/project/optunity) (📥 16K / month · 📦 24 · ⏱️ 30.09.2015): ``` pip install optunity ```
Auto ViML (🥉21 · ⭐ 240) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 - [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 6 · 🔀 53 · 📦 13 · 📋 18 - 22% open · ⏱️ 14.04.2021): ``` git clone https://github.com/AutoViML/Auto_ViML ``` - [PyPi](https://pypi.org/project/autoviml) (📥 3.2K / month · ⏱️ 15.04.2021): ``` pip install autoviml ```
Dragonfly (🥉18 · ⭐ 580 · 💤) - An open source python library for scalable Bayesian optimisation. MIT - [GitHub](https://github.com/dragonfly/dragonfly) (👨‍💻 12 · 🔀 77 · 📋 42 - 59% open · ⏱️ 03.07.2020): ``` git clone https://github.com/dragonfly/dragonfly ``` - [PyPi](https://pypi.org/project/dragonfly-opt) (📥 19K / month · 📦 2 · ⏱️ 03.07.2020): ``` pip install dragonfly-opt ```
AlphaPy (🥉17 · ⭐ 580) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 - [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨‍💻 3 · 🔀 130 · 📦 2 · 📋 38 - 23% open · ⏱️ 08.02.2021): ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` - [PyPi](https://pypi.org/project/alphapy) (📥 410 / month · ⏱️ 29.08.2020): ``` pip install alphapy ```
HyperparameterHunter (🥉16 · ⭐ 650) - Easy hyperparameter optimization and automatic result.. MIT - [GitHub](https://github.com/HunterMcGushion/hyperparameter_hunter) (👨‍💻 4 · 🔀 83 · 📥 270 · 📋 120 - 30% open · ⏱️ 20.01.2021): ``` git clone https://github.com/HunterMcGushion/hyperparameter_hunter ``` - [PyPi](https://pypi.org/project/hyperparameter-hunter) (📥 230 / month · 📦 2 · ⏱️ 06.08.2019): ``` pip install hyperparameter-hunter ```
Parfit (🥉16 · ⭐ 200 · 💤) - A package for parallelizing the fit and flexibly scoring of.. MIT - [GitHub](https://github.com/jmcarpenter2/parfit) (👨‍💻 2 · 🔀 25 · 📦 8 · 📋 11 - 54% open · ⏱️ 04.04.2020): ``` git clone https://github.com/jmcarpenter2/parfit ``` - [PyPi](https://pypi.org/project/parfit) (📥 12K / month · ⏱️ 11.10.2018): ``` pip install parfit ```
ENAS (🥉13 · ⭐ 2.4K · 💤) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - [GitHub](https://github.com/carpedm20/ENAS-pytorch) (👨‍💻 6 · 🔀 450 · 📋 44 - 84% open · ⏱️ 16.06.2020): ``` git clone https://github.com/carpedm20/ENAS-pytorch ```
Devol (🥉11 · ⭐ 930 · 💤) - Genetic neural architecture search with Keras. MIT - [GitHub](https://github.com/joeddav/devol) (👨‍💻 18 · 🔀 110 · 📋 27 - 25% open · ⏱️ 05.07.2020): ``` git clone https://github.com/joeddav/devol ```
Show 15 hidden projects... - TPOT (🥇29 · ⭐ 8K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - auto_ml (🥉21 · ⭐ 1.5K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - MLBox (🥉21 · ⭐ 1.2K · 💤) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - HpBandSter (🥉20 · ⭐ 460 · 💀) - a distributed Hyperband implementation on Steroids. BSD-3 - Test Tube (🥉19 · ⭐ 680 · 💀) - Python library to easily log experiments and parallelize.. MIT - Sherpa (🥉18 · ⭐ 290) - Hyperparameter optimization that enables researchers to experiment,.. ❗️GPL-3.0 - Advisor (🥉17 · ⭐ 1.4K · 💀) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - sklearn-deap (🥉17 · ⭐ 640 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT - Auto Tune Models (🥉17 · ⭐ 510 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - automl-gs (🥉16 · ⭐ 1.7K · 💀) - Provide an input CSV and a target field to predict, generate a.. MIT - Xcessiv (🥉16 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated.. Apache-2 - Auptimizer (🥉15 · ⭐ 170) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (🥉14 · ⭐ 96 · 💤) - Better, faster hyper-parameter optimization. BSD-3 - featurewiz (🥉12 · ⭐ 51 · 🐣) - Use advanced feature engineering strategies and select the.. Apache-2 - Hypertunity (🥉11 · ⭐ 120 · 💀) - A toolset for black-box hyperparameter optimisation. Apache-2

## Reinforcement Learning Back to top _Libraries for building and evaluating reinforcement learning & agent-based systems._
OpenAI Gym (🥇36 · ⭐ 24K · 📈) - A toolkit for developing and comparing reinforcement learning.. MIT - [GitHub](https://github.com/openai/gym) (👨‍💻 280 · 🔀 6.8K · 📦 20K · 📋 1.4K - 20% open · ⏱️ 06.04.2021): ``` git clone https://github.com/openai/gym ``` - [PyPi](https://pypi.org/project/gym) (📥 470K / month · 📦 3.6K · ⏱️ 19.12.2020): ``` pip install gym ```
Dopamine (🥇28 · ⭐ 9.4K) - Dopamine is a research framework for fast prototyping of.. Apache-2 - [GitHub](https://github.com/google/dopamine) (👨‍💻 14 · 🔀 1.3K · 📋 160 - 52% open · ⏱️ 08.04.2021): ``` git clone https://github.com/google/dopamine ``` - [PyPi](https://pypi.org/project/dopamine-rl) (📥 110K / month · 📦 62 · ⏱️ 08.04.2021): ``` pip install dopamine-rl ```
TF-Agents (🥇28 · ⭐ 1.9K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 - [GitHub](https://github.com/tensorflow/agents) (👨‍💻 92 · 🔀 500 · 📦 440 · 📋 450 - 23% open · ⏱️ 28.04.2021): ``` git clone https://github.com/tensorflow/agents ``` - [PyPi](https://pypi.org/project/tf-agents) (📥 16K / month · 📦 12 · ⏱️ 16.04.2021): ``` pip install tf-agents ```
TensorLayer (🥈27 · ⭐ 6.6K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - [GitHub](https://github.com/tensorlayer/tensorlayer) (👨‍💻 130 · 🔀 1.5K · 📥 1.3K · 📋 450 - 4% open · ⏱️ 17.03.2021): ``` git clone https://github.com/tensorlayer/tensorlayer ``` - [PyPi](https://pypi.org/project/tensorlayer) (📥 3.5K / month · 📦 68 · ⏱️ 19.06.2020): ``` pip install tensorlayer ```
Stable Baselines (🥈26 · ⭐ 3.1K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT - [GitHub](https://github.com/hill-a/stable-baselines) (👨‍💻 110 · 🔀 600 · 📋 880 - 14% open · ⏱️ 19.04.2021): ``` git clone https://github.com/hill-a/stable-baselines ``` - [PyPi](https://pypi.org/project/stable-baselines) (📥 14K / month · 📦 50 · ⏱️ 06.04.2021): ``` pip install stable-baselines ```
TensorForce (🥈26 · ⭐ 2.9K) - Tensorforce: a TensorFlow library for applied.. Apache-2 - [GitHub](https://github.com/tensorforce/tensorforce) (👨‍💻 76 · 🔀 500 · 📋 560 - 1% open · ⏱️ 20.04.2021): ``` git clone https://github.com/tensorforce/tensorforce ``` - [PyPi](https://pypi.org/project/tensorforce) (📥 1.8K / month · 📦 46 · ⏱️ 07.09.2019): ``` pip install tensorforce ```
ViZDoom (🥈25 · ⭐ 1.2K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT - [GitHub](https://github.com/mwydmuch/ViZDoom) (👨‍💻 44 · 🔀 300 · 📥 11K · 📦 110 · 📋 420 - 21% open · ⏱️ 09.02.2021): ``` git clone https://github.com/mwydmuch/ViZDoom ``` - [PyPi](https://pypi.org/project/vizdoom) (📥 1.6K / month · 📦 24 · ⏱️ 29.10.2020): ``` pip install vizdoom ```
garage (🥉24 · ⭐ 1.1K) - A toolkit for reproducible reinforcement learning research. MIT - [GitHub](https://github.com/rlworkgroup/garage) (👨‍💻 75 · 🔀 220 · 📦 17 · 📋 990 - 20% open · ⏱️ 13.04.2021): ``` git clone https://github.com/rlworkgroup/garage ``` - [PyPi](https://pypi.org/project/garage) (📥 550 / month · ⏱️ 23.03.2021): ``` pip install garage ```
Acme (🥉23 · ⭐ 2K) - A library of reinforcement learning components and agents. Apache-2 - [GitHub](https://github.com/deepmind/acme) (👨‍💻 38 · 🔀 210 · 📦 26 · 📋 93 - 46% open · ⏱️ 26.04.2021): ``` git clone https://github.com/deepmind/acme ``` - [PyPi](https://pypi.org/project/dm-acme) (📥 2.1K / month · ⏱️ 23.10.2020): ``` pip install dm-acme ```
ChainerRL (🥉23 · ⭐ 940) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - [GitHub](https://github.com/chainer/chainerrl) (👨‍💻 29 · 🔀 200 · 📦 97 · 📋 220 - 33% open · ⏱️ 17.04.2021): ``` git clone https://github.com/chainer/chainerrl ``` - [PyPi](https://pypi.org/project/chainerrl) (📥 640 / month · 📦 14 · ⏱️ 14.02.2020): ``` pip install chainerrl ```
TRFL (🥉21 · ⭐ 3.1K · 💤) - TensorFlow Reinforcement Learning. Apache-2 - [GitHub](https://github.com/deepmind/trfl) (👨‍💻 12 · 🔀 370 · 📦 46 · 📋 22 - 27% open · ⏱️ 20.04.2020): ``` git clone https://github.com/deepmind/trfl ``` - [PyPi](https://pypi.org/project/trfl) (📥 2.2K / month · 📦 2 · ⏱️ 20.04.2020): ``` pip install trfl ```
PARL (🥉21 · ⭐ 2K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 23 · 🔀 470 · 📦 72 · 📋 220 - 21% open · ⏱️ 29.04.2021): ``` git clone https://github.com/PaddlePaddle/PARL ``` - [PyPi](https://pypi.org/project/parl) (📥 820 / month · ⏱️ 10.03.2021): ``` pip install parl ```
Coach (🥉20 · ⭐ 2K) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 - [GitHub](https://github.com/IntelLabs/coach) (👨‍💻 34 · 🔀 380 · 📋 260 - 30% open · ⏱️ 09.02.2021): ``` git clone https://github.com/IntelLabs/coach ``` - [PyPi](https://pypi.org/project/rl_coach) (📥 240 / month · 📦 2 · ⏱️ 10.10.2019): ``` pip install rl_coach ```
PFRL (🥉20 · ⭐ 580) - PFRL: a PyTorch-based deep reinforcement learning library. MIT - [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 13 · 🔀 70 · 📦 8 · 📋 47 - 46% open · ⏱️ 28.04.2021): ``` git clone https://github.com/pfnet/pfrl ``` - [PyPi](https://pypi.org/project/pfrl) (📥 1.2K / month · ⏱️ 17.12.2020): ``` pip install pfrl ```
RLax (🥉18 · ⭐ 590) - A library of reinforcement learning building blocks in JAX. Apache-2 jax - [GitHub](https://github.com/deepmind/rlax) (👨‍💻 11 · 🔀 47 · 📦 16 · 📋 7 - 42% open · ⏱️ 13.04.2021): ``` git clone https://github.com/deepmind/rlax ``` - [PyPi](https://pypi.org/project/rlax) (📥 400 / month · ⏱️ 19.02.2020): ``` pip install rlax ```
ReAgent (🥉17 · ⭐ 2.9K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 - [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 96 · 🔀 390 · 📋 95 - 21% open · ⏱️ 23.04.2021): ``` git clone https://github.com/facebookresearch/ReAgent ```
Show 3 hidden projects... - baselines (🥇28 · ⭐ 11K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - keras-rl (🥈25 · ⭐ 5K · 💀) - Deep Reinforcement Learning for Keras. MIT - DeepMind Lab (🥉17 · ⭐ 6.4K) - A customisable 3D platform for agent-based AI research. ❗️GPL-2.0

## Recommender Systems Back to top _Libraries for building and evaluating recommendation systems._
lightfm (🥇27 · ⭐ 3.6K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 - [GitHub](https://github.com/lyst/lightfm) (👨‍💻 44 · 🔀 580 · 📦 450 · 📋 420 - 18% open · ⏱️ 07.02.2021): ``` git clone https://github.com/lyst/lightfm ``` - [PyPi](https://pypi.org/project/lightfm) (📥 160K / month · 📦 56 · ⏱️ 27.11.2020): ``` pip install lightfm ``` - [Conda](https://anaconda.org/conda-forge/lightfm) (📥 88K · ⏱️ 07.02.2021): ``` conda install -c conda-forge lightfm ```
implicit (🥇27 · ⭐ 2.3K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - [GitHub](https://github.com/benfred/implicit) (👨‍💻 29 · 🔀 490 · 📦 410 · 📋 340 - 24% open · ⏱️ 25.04.2021): ``` git clone https://github.com/benfred/implicit ``` - [PyPi](https://pypi.org/project/implicit) (📥 62K / month · 📦 44 · ⏱️ 15.09.2020): ``` pip install implicit ``` - [Conda](https://anaconda.org/conda-forge/implicit) (📥 230K · ⏱️ 24.11.2020): ``` conda install -c conda-forge implicit ```
scikit-surprise (🥈26 · ⭐ 4.8K · 💤) - A Python scikit for building and analyzing recommender.. BSD-3 - [GitHub](https://github.com/NicolasHug/Surprise) (👨‍💻 38 · 🔀 860 · 📦 1K · 📋 340 - 15% open · ⏱️ 05.08.2020): ``` git clone https://github.com/NicolasHug/Surprise ``` - [PyPi](https://pypi.org/project/scikit-surprise) (📥 49K / month · 📦 48 · ⏱️ 19.07.2020): ``` pip install scikit-surprise ``` - [Conda](https://anaconda.org/conda-forge/scikit-surprise) (📥 170K · ⏱️ 13.10.2020): ``` conda install -c conda-forge scikit-surprise ```
TF Ranking (🥈23 · ⭐ 2.1K) - Learning to Rank in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/ranking) (👨‍💻 20 · 🔀 370 · 📋 230 - 11% open · ⏱️ 04.02.2021): ``` git clone https://github.com/tensorflow/ranking ``` - [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 81K / month · 📦 2 · ⏱️ 30.01.2021): ``` pip install tensorflow_ranking ```
Cornac (🥈23 · ⭐ 320) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 - [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 11 · 🔀 63 · 📦 40 · 📋 45 - 6% open · ⏱️ 24.04.2021): ``` git clone https://github.com/PreferredAI/cornac ``` - [PyPi](https://pypi.org/project/cornac) (📥 3.7K / month · 📦 2 · ⏱️ 30.03.2021): ``` pip install cornac ``` - [Conda](https://anaconda.org/conda-forge/cornac) (📥 130K · ⏱️ 30.03.2021): ``` conda install -c conda-forge cornac ```
Recommenders (🥈21 · ⭐ 9.6K) - Best Practices on Recommendation Systems. MIT - [GitHub](https://github.com/microsoft/recommenders) (👨‍💻 93 · 🔀 1.7K · 📦 2 · 📋 570 - 22% open · ⏱️ 06.04.2021): ``` git clone https://github.com/microsoft/recommenders ```
fastFM (🥈21 · ⭐ 920) - fastFM: A Library for Factorization Machines. BSD-3 - [GitHub](https://github.com/ibayer/fastFM) (👨‍💻 20 · 🔀 190 · 📥 390 · 📦 80 · 📋 100 - 42% open · ⏱️ 24.03.2021): ``` git clone https://github.com/ibayer/fastFM ``` - [PyPi](https://pypi.org/project/fastfm) (📥 980 / month · 📦 8 · ⏱️ 23.11.2017): ``` pip install fastfm ```
TF Recommenders (🥈21 · ⭐ 800) - TensorFlow Recommenders is a library for building.. Apache-2 - [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 21 · 🔀 94 · 📦 19 · 📋 120 - 46% open · ⏱️ 27.04.2021): ``` git clone https://github.com/tensorflow/recommenders ``` - [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 25K / month · ⏱️ 21.01.2021): ``` pip install tensorflow-recommenders ```
RecBole (🥉20 · ⭐ 920) - A unified, comprehensive and efficient recommendation library. MIT - [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 38 · 🔀 140 · 📋 110 - 24% open · ⏱️ 26.04.2021): ``` git clone https://github.com/RUCAIBox/RecBole ``` - [PyPi](https://pypi.org/project/recbole) (📥 680 / month · ⏱️ 22.03.2021): ``` pip install recbole ``` - [Conda](https://anaconda.org/aibox/recbole) (📥 350 · ⏱️ 22.03.2021): ``` conda install -c aibox recbole ```
recmetrics (🥉18 · ⭐ 260) - A library of metrics for evaluating recommender systems. MIT - [GitHub](https://github.com/statisticianinstilettos/recmetrics) (👨‍💻 12 · 🔀 62 · 📦 17 · 📋 10 - 30% open · ⏱️ 03.12.2020): ``` git clone https://github.com/statisticianinstilettos/recmetrics ``` - [PyPi](https://pypi.org/project/recmetrics) (📥 390 / month · ⏱️ 05.03.2019): ``` pip install recmetrics ```
Case Recommender (🥉17 · ⭐ 320 · 💤) - Case Recommender: A Flexible and Extensible Python.. MIT - [GitHub](https://github.com/caserec/CaseRecommender) (👨‍💻 10 · 🔀 70 · 📦 9 · 📋 23 - 30% open · ⏱️ 26.05.2020): ``` git clone https://github.com/caserec/CaseRecommender ``` - [PyPi](https://pypi.org/project/caserecommender) (📥 540 / month · ⏱️ 20.08.2019): ``` pip install caserecommender ```
Show 3 hidden projects... - tensorrec (🥈21 · ⭐ 1.1K · 💀) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - Spotlight (🥉17 · ⭐ 2.5K · 💀) - Deep recommender models using PyTorch. MIT - OpenRec (🥉15 · ⭐ 370 · 💀) - OpenRec is an open-source and modular library for neural network-.. Apache-2

## Privacy Machine Learning Back to top _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._
PySyft (🥇26 · ⭐ 7.1K) - A library for answering questions using data you cannot see. Apache-2 - [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 370 · 🔀 1.6K · 📋 2.9K - 6% open · ⏱️ 28.04.2021): ``` git clone https://github.com/OpenMined/PySyft ``` - [PyPi](https://pypi.org/project/syft) (📥 3.6K / month · 📦 6 · ⏱️ 01.04.2021): ``` pip install syft ```
Opacus (🥈22 · ⭐ 800) - Training PyTorch models with differential privacy. Apache-2 - [GitHub](https://github.com/pytorch/opacus) (👨‍💻 29 · 🔀 120 · 📥 31 · 📦 28 · 📋 77 - 18% open · ⏱️ 27.04.2021): ``` git clone https://github.com/pytorch/opacus ``` - [PyPi](https://pypi.org/project/opacus) (📥 7.4K / month · ⏱️ 10.03.2021): ``` pip install opacus ```
TensorFlow Privacy (🥈21 · ⭐ 1.4K) - Library for training machine learning models with.. Apache-2 - [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 36 · 🔀 290 · 📥 42 · 📋 130 - 41% open · ⏱️ 20.04.2021): ``` git clone https://github.com/tensorflow/privacy ``` - [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 12K / month · 📦 2 · ⏱️ 13.04.2021): ``` pip install tensorflow-privacy ```
TFEncrypted (🥈21 · ⭐ 850 · 💤) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 - [GitHub](https://github.com/tf-encrypted/tf-encrypted) (👨‍💻 28 · 🔀 140 · 📦 49 · 📋 400 - 41% open · ⏱️ 19.08.2020): ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` - [PyPi](https://pypi.org/project/tf-encrypted) (📥 1K / month · 📦 16 · ⏱️ 21.10.2019): ``` pip install tf-encrypted ```
FATE (🥉20 · ⭐ 3K) - An Industrial Grade Federated Learning Framework. Apache-2 - [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 56 · 🔀 880 · 📋 840 - 34% open · ⏱️ 16.04.2021): ``` git clone https://github.com/FederatedAI/FATE ```
CrypTen (🥉17 · ⭐ 780) - A framework for Privacy Preserving Machine Learning. MIT - [GitHub](https://github.com/facebookresearch/CrypTen) (👨‍💻 23 · 🔀 110 · 📦 7 · 📋 68 - 39% open · ⏱️ 27.04.2021): ``` git clone https://github.com/facebookresearch/CrypTen ``` - [PyPi](https://pypi.org/project/crypten) (📥 250 / month · ⏱️ 05.02.2020): ``` pip install crypten ```

## Workflow & Experiment Tracking Back to top _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (🥇36 · ⭐ 5.4K) - TensorFlow's Visualization Toolkit. Apache-2 - [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 260 · 🔀 1.4K · 📦 62K · 📋 1.5K - 36% open · ⏱️ 29.04.2021): ``` git clone https://github.com/tensorflow/tensorboard ``` - [PyPi](https://pypi.org/project/tensorboard) (📥 9.1M / month · 📦 3.6K · ⏱️ 14.01.2021): ``` pip install tensorboard ``` - [Conda](https://anaconda.org/conda-forge/tensorboard) (📥 1.9M · ⏱️ 15.01.2021): ``` conda install -c conda-forge tensorboard ```
mlflow (🥇33 · ⭐ 9.1K) - Open source platform for the machine learning lifecycle. Apache-2 - [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 290 · 🔀 2K · 📋 1.8K - 41% open · ⏱️ 29.04.2021): ``` git clone https://github.com/mlflow/mlflow ``` - [PyPi](https://pypi.org/project/mlflow) (📥 4.8M / month · 📦 150 · ⏱️ 26.04.2021): ``` pip install mlflow ``` - [Conda](https://anaconda.org/conda-forge/mlflow) (📥 290K · ⏱️ 27.04.2021): ``` conda install -c conda-forge mlflow ```
DVC (🥇31 · ⭐ 7.8K) - Data Version Control | Git for Data & Models. Apache-2 - [GitHub](https://github.com/iterative/dvc) (👨‍💻 220 · 🔀 740 · 📥 23K · 📦 920 · 📋 2.9K - 19% open · ⏱️ 29.04.2021): ``` git clone https://github.com/iterative/dvc ``` - [PyPi](https://pypi.org/project/dvc) (📥 160K / month · 📦 46 · ⏱️ 15.04.2021): ``` pip install dvc ``` - [Conda](https://anaconda.org/conda-forge/dvc) (📥 620K · ⏱️ 23.04.2021): ``` conda install -c conda-forge dvc ```
SageMaker SDK (🥇31 · ⭐ 1.4K) - A library for training and deploying machine learning.. Apache-2 - [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 200 · 🔀 620 · 📦 680 · 📋 810 - 32% open · ⏱️ 28.04.2021): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` - [PyPi](https://pypi.org/project/sagemaker) (📥 800K / month · 📦 28 · ⏱️ 28.04.2021): ``` pip install sagemaker ```
tensorboardX (🥈30 · ⭐ 6.9K · 📈) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT - [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 65 · 🔀 800 · 📥 320 · 📦 12K · 📋 420 - 15% open · ⏱️ 03.04.2021): ``` git clone https://github.com/lanpa/tensorboardX ``` - [PyPi](https://pypi.org/project/tensorboardX) (📥 790K / month · 📦 1.3K · ⏱️ 05.07.2020): ``` pip install tensorboardX ``` - [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 350K · ⏱️ 06.04.2021): ``` conda install -c conda-forge tensorboardx ```
wandb client (🥈30 · ⭐ 2.9K) - A tool for visualizing and tracking your machine learning.. MIT - [GitHub](https://github.com/wandb/client) (👨‍💻 79 · 🔀 210 · 📦 2.7K · 📋 1.1K - 27% open · ⏱️ 29.04.2021): ``` git clone https://github.com/wandb/client ``` - [PyPi](https://pypi.org/project/wandb) (📥 380K / month · 📦 78 · ⏱️ 28.04.2021): ``` pip install wandb ```
AzureML SDK (🥈30 · ⭐ 2.3K) - Python notebooks with ML and deep learning examples with Azure.. MIT - [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 55 · 🔀 1.6K · 📥 410 · 📋 1K - 14% open · ⏱️ 19.04.2021): ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` - [PyPi](https://pypi.org/project/azureml-sdk) (📥 690K / month · 📦 60 · ⏱️ 19.04.2021): ``` pip install azureml-sdk ```
kaggle (🥈29 · ⭐ 4K) - Official Kaggle API. Apache-2 - [GitHub](https://github.com/Kaggle/kaggle-api) (👨‍💻 36 · 🔀 790 · 📦 5.2K · 📋 290 - 59% open · ⏱️ 15.03.2021): ``` git clone https://github.com/Kaggle/kaggle-api ``` - [PyPi](https://pypi.org/project/kaggle) (📥 170K / month · 📦 560 · ⏱️ 13.03.2021): ``` pip install kaggle ``` - [Conda](https://anaconda.org/conda-forge/kaggle) (📥 54K · ⏱️ 16.03.2021): ``` conda install -c conda-forge kaggle ```
sacred (🥈29 · ⭐ 3.4K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT - [GitHub](https://github.com/IDSIA/sacred) (👨‍💻 92 · 🔀 310 · 📦 890 · 📋 500 - 18% open · ⏱️ 27.04.2021): ``` git clone https://github.com/IDSIA/sacred ``` - [PyPi](https://pypi.org/project/sacred) (📥 24K / month · 📦 150 · ⏱️ 14.12.2020): ``` pip install sacred ```
PyCaret (🥈29 · ⭐ 3.3K) - An open-source, low-code machine learning library in Python. MIT - [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 49 · 🔀 720 · 📥 380 · 📦 860 · 📋 830 - 25% open · ⏱️ 28.04.2021): ``` git clone https://github.com/pycaret/pycaret ``` - [PyPi](https://pypi.org/project/pycaret) (📥 59K / month · ⏱️ 28.04.2021): ``` pip install pycaret ```
snakemake (🥈29 · ⭐ 950) - This is the development home of the workflow management system.. MIT - [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 200 · 🔀 210 · 📦 800 · 📋 610 - 62% open · ⏱️ 29.04.2021): ``` git clone https://github.com/snakemake/snakemake ``` - [PyPi](https://pypi.org/project/snakemake) (📥 20K / month · 📦 290 · ⏱️ 29.04.2021): ``` pip install snakemake ``` - [Conda](https://anaconda.org/bioconda/snakemake) (📥 290K · ⏱️ 22.04.2021): ``` conda install -c bioconda snakemake ```
Catalyst (🥈27 · ⭐ 2.5K) - Accelerated deep learning R&D. Apache-2 - [GitHub](https://github.com/catalyst-team/catalyst) (👨‍💻 85 · 🔀 310 · 📦 340 · 📋 300 - 4% open · ⏱️ 27.04.2021): ``` git clone https://github.com/catalyst-team/catalyst ``` - [PyPi](https://pypi.org/project/catalyst) (📥 13K / month · 📦 38 · ⏱️ 19.04.2021): ``` pip install catalyst ```
Metaflow (🥈26 · ⭐ 4.3K) - Build and manage real-life data science projects with ease. Apache-2 - [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 31 · 🔀 360 · 📦 120 · 📋 290 - 48% open · ⏱️ 29.04.2021): ``` git clone https://github.com/Netflix/metaflow ``` - [PyPi](https://pypi.org/project/metaflow) (📥 47K / month · 📦 2 · ⏱️ 22.04.2021): ``` pip install metaflow ``` - [Conda](https://anaconda.org/conda-forge/metaflow) (📥 15K · ⏱️ 23.04.2021): ``` conda install -c conda-forge metaflow ```
ClearML (🥈26 · ⭐ 2.4K) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2 - [GitHub](https://github.com/allegroai/clearml) (👨‍💻 28 · 🔀 340 · 📥 300 · 📦 31 · 📋 290 - 26% open · ⏱️ 28.04.2021): ``` git clone https://github.com/allegroai/clearml ``` - [PyPi](https://pypi.org/project/clearml) (📥 17K / month · ⏱️ 11.04.2021): ``` pip install clearml ``` - [Docker Hub](https://hub.docker.com/r/allegroai/trains) (📥 30K · ⏱️ 05.10.2020): ``` docker pull allegroai/trains ```
VisualDL (🥉25 · ⭐ 3.9K) - Deep Learning Visualization Toolkit. Apache-2 - [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 29 · 🔀 540 · 📥 110 · 📦 270 · 📋 350 - 8% open · ⏱️ 19.04.2021): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` - [PyPi](https://pypi.org/project/visualdl) (📥 12K / month · 📦 10 · ⏱️ 29.01.2021): ``` pip install visualdl ```
TNT (🥉24 · ⭐ 1.3K) - Simple tools for logging and visualizing, loading and training. BSD-3 - [GitHub](https://github.com/pytorch/tnt) (👨‍💻 35 · 🔀 190 · 📦 570 · 📋 64 - 46% open · ⏱️ 05.01.2021): ``` git clone https://github.com/pytorch/tnt ``` - [PyPi](https://pypi.org/project/torchnet) (📥 11K / month · 📦 50 · ⏱️ 29.07.2018): ``` pip install torchnet ```
livelossplot (🥉24 · ⭐ 1.1K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - [GitHub](https://github.com/stared/livelossplot) (👨‍💻 16 · 🔀 140 · 📦 510 · 📋 73 - 4% open · ⏱️ 07.02.2021): ``` git clone https://github.com/stared/livelossplot ``` - [PyPi](https://pypi.org/project/livelossplot) (📥 31K / month · 📦 10 · ⏱️ 03.02.2021): ``` pip install livelossplot ```
ml-metadata (🥉24 · ⭐ 310) - For recording and retrieving metadata associated with ML.. Apache-2 - [GitHub](https://github.com/google/ml-metadata) (👨‍💻 12 · 🔀 66 · 📥 1.3K · 📦 100 · 📋 62 - 29% open · ⏱️ 29.04.2021): ``` git clone https://github.com/google/ml-metadata ``` - [PyPi](https://pypi.org/project/ml-metadata) (📥 380K / month · ⏱️ 20.04.2021): ``` pip install ml-metadata ```
TensorWatch (🥉22 · ⭐ 3.1K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT - [GitHub](https://github.com/microsoft/tensorwatch) (👨‍💻 13 · 🔀 330 · 📦 48 · 📋 64 - 76% open · ⏱️ 15.01.2021): ``` git clone https://github.com/microsoft/tensorwatch ``` - [PyPi](https://pypi.org/project/tensorwatch) (📥 4.8K / month · 📦 6 · ⏱️ 04.03.2020): ``` pip install tensorwatch ```
lore (🥉22 · ⭐ 1.5K · 💤) - Lore makes machine learning approachable for Software Engineers and.. MIT - [GitHub](https://github.com/instacart/lore) (👨‍💻 22 · 🔀 120 · 📦 16 · 📋 34 - 47% open · ⏱️ 11.05.2020): ``` git clone https://github.com/instacart/lore ``` - [PyPi](https://pypi.org/project/lore) (📥 2.6K / month · 📦 1 · ⏱️ 11.05.2020): ``` pip install lore ```
Guild AI (🥉22 · ⭐ 570) - Experiment tracking, ML developer tools. Apache-2 - [GitHub](https://github.com/guildai/guildai) (👨‍💻 16 · 🔀 41 · 📦 27 · 📋 270 - 37% open · ⏱️ 12.04.2021): ``` git clone https://github.com/guildai/guildai ``` - [PyPi](https://pypi.org/project/guildai) (📥 5.7K / month · ⏱️ 12.04.2021): ``` pip install guildai ```
Studio.ml (🥉22 · ⭐ 370) - Studio: Simplify and expedite model building process. Apache-2 - [GitHub](https://github.com/studioml/studio) (👨‍💻 21 · 🔀 51 · 📦 4 · 📋 250 - 22% open · ⏱️ 27.03.2021): ``` git clone https://github.com/studioml/studio ``` - [PyPi](https://pypi.org/project/studioml) (📥 2.3K / month · ⏱️ 27.04.2021): ``` pip install studioml ```
Labml (🥉21 · ⭐ 540) - Monitor deep learning model training and hardware usage from your mobile.. MIT - [GitHub](https://github.com/lab-ml/labml) (👨‍💻 6 · 🔀 42 · 📦 24 · 📋 10 - 40% open · ⏱️ 28.04.2021): ``` git clone https://github.com/lab-ml/labml ``` - [PyPi](https://pypi.org/project/labml) (📥 1.8K / month · ⏱️ 17.04.2021): ``` pip install labml ```
quinn (🥉21 · ⭐ 240) - pyspark methods to enhance developer productivity. Apache-2 - [GitHub](https://github.com/MrPowers/quinn) (👨‍💻 6 · 🔀 28 · 📋 26 - 65% open · ⏱️ 09.02.2021): ``` git clone https://github.com/MrPowers/quinn ``` - [PyPi](https://pypi.org/project/quinn) (📥 210K / month · 📦 6 · ⏱️ 06.02.2021): ``` pip install quinn ```
hiddenlayer (🥉20 · ⭐ 1.4K · 💤) - Neural network graphs and training metrics for.. MIT - [GitHub](https://github.com/waleedka/hiddenlayer) (👨‍💻 6 · 🔀 200 · 📦 68 · 📋 77 - 57% open · ⏱️ 24.04.2020): ``` git clone https://github.com/waleedka/hiddenlayer ``` - [PyPi](https://pypi.org/project/hiddenlayer) (📥 3K / month · 📦 8 · ⏱️ 24.04.2020): ``` pip install hiddenlayer ```
gokart (🥉20 · ⭐ 180) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - [GitHub](https://github.com/m3dev/gokart) (👨‍💻 25 · 🔀 30 · 📋 43 - 20% open · ⏱️ 27.04.2021): ``` git clone https://github.com/m3dev/gokart ``` - [PyPi](https://pypi.org/project/gokart) (📥 1.1K / month · 📦 2 · ⏱️ 25.02.2020): ``` pip install gokart ```
aim (🥉16 · ⭐ 1.1K) - Aim a super-easy way to record, search and compare 1000s of ML training.. Apache-2 - [GitHub](https://github.com/aimhubio/aim) (👨‍💻 10 · 🔀 58 · 📋 170 - 59% open · ⏱️ 20.04.2021): ``` git clone https://github.com/aimhubio/aim ``` - [PyPi](https://pypi.org/project/aim) (📥 3K / month · 📦 2 · ⏱️ 10.04.2021): ``` pip install aim ```
Show 8 hidden projects... - TensorBoard Logger (🥉22 · ⭐ 610 · 💀) - Log TensorBoard events without touching TensorFlow. MIT - knockknock (🥉21 · ⭐ 2.1K · 💀) - Knock Knock: Get notified when your training ends with only two.. MIT - MXBoard (🥉19 · ⭐ 330 · 💀) - Logging MXNet data for visualization in TensorBoard. Apache-2 - SKLL (🥉18 · ⭐ 530) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - datmo (🥉17 · ⭐ 330 · 💀) - Open source production model management tool for data scientists. MIT - steppy (🥉16 · ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (🥉15 · ⭐ 120) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (🥉12 · ⭐ 9) - Train off-the-shelf machine learning models in one.. Apache-2

## Model Serialization & Conversion Back to top _Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment._
onnx (🥇34 · ⭐ 10K) - Open standard for machine learning interoperability. Apache-2 - [GitHub](https://github.com/onnx/onnx) (👨‍💻 200 · 🔀 1.9K · 📥 12K · 📦 3K · 📋 1.6K - 34% open · ⏱️ 28.04.2021): ``` git clone https://github.com/onnx/onnx ``` - [PyPi](https://pypi.org/project/onnx) (📥 1.4M / month · 📦 300 · ⏱️ 19.04.2021): ``` pip install onnx ``` - [Conda](https://anaconda.org/conda-forge/onnx) (📥 220K · ⏱️ 19.04.2021): ``` conda install -c conda-forge onnx ```
Core ML Tools (🥇27 · ⭐ 2.2K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 - [GitHub](https://github.com/apple/coremltools) (👨‍💻 110 · 🔀 360 · 📥 2.6K · 📦 510 · 📋 700 - 49% open · ⏱️ 09.04.2021): ``` git clone https://github.com/apple/coremltools ``` - [PyPi](https://pypi.org/project/coremltools) (📥 62K / month · 📦 270 · ⏱️ 05.02.2021): ``` pip install coremltools ```
TorchServe (🥈26 · ⭐ 1.7K) - Model Serving on PyTorch. Apache-2 - [GitHub](https://github.com/pytorch/serve) (👨‍💻 67 · 🔀 270 · 📥 210 · 📦 41 · 📋 600 - 26% open · ⏱️ 22.04.2021): ``` git clone https://github.com/pytorch/serve ``` - [PyPi](https://pypi.org/project/torchserve) (📥 9.4K / month · ⏱️ 15.03.2021): ``` pip install torchserve ``` - [Conda](https://anaconda.org/pytorch/torchserve) (📥 8K · ⏱️ 18.03.2021): ``` conda install -c pytorch torchserve ``` - [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (📥 58K · ⭐ 3 · ⏱️ 18.12.2020): ``` docker pull pytorch/torchserve ```
cortex (🥈23 · ⭐ 7.5K) - Scale compute-intensive serverless workloads. Apache-2 - [GitHub](https://github.com/cortexlabs/cortex) (👨‍💻 21 · 🔀 570 · 📋 1K - 13% open · ⏱️ 28.04.2021): ``` git clone https://github.com/cortexlabs/cortex ``` - [PyPi](https://pypi.org/project/cortex) (📥 1.6K / month · ⏱️ 27.04.2021): ``` pip install cortex ```
mmdnn (🥈23 · ⭐ 5.3K · 💤) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT - [GitHub](https://github.com/microsoft/MMdnn) (👨‍💻 85 · 🔀 940 · 📥 3.4K · 📦 52 · 📋 600 - 51% open · ⏱️ 14.08.2020): ``` git clone https://github.com/Microsoft/MMdnn ``` - [PyPi](https://pypi.org/project/mmdnn) (📥 990 / month · 📦 3 · ⏱️ 24.07.2020): ``` pip install mmdnn ```
m2cgen (🥉22 · ⭐ 1.8K) - Transform ML models into a native code (Java, C, Python, Go, JavaScript,.. MIT - [GitHub](https://github.com/BayesWitnesses/m2cgen) (👨‍💻 12 · 🔀 150 · 📦 6 · 📋 79 - 45% open · ⏱️ 28.04.2021): ``` git clone https://github.com/BayesWitnesses/m2cgen ``` - [PyPi](https://pypi.org/project/m2cgen) (📥 24K / month · ⏱️ 18.09.2020): ``` pip install m2cgen ```
Hummingbird (🥉21 · ⭐ 2.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT - [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 20 · 🔀 170 · 📥 99 · 📦 15 · 📋 210 - 25% open · ⏱️ 29.04.2021): ``` git clone https://github.com/microsoft/hummingbird ``` - [PyPi](https://pypi.org/project/hummingbird-ml) (📥 3.1K / month · ⏱️ 13.04.2021): ``` pip install hummingbird-ml ```
pytorch2keras (🥉18 · ⭐ 700 · 💤) - PyTorch to Keras model convertor. MIT - [GitHub](https://github.com/nerox8664/pytorch2keras) (👨‍💻 11 · 🔀 110 · 📦 20 · 📋 110 - 40% open · ⏱️ 14.05.2020): ``` git clone https://github.com/nerox8664/pytorch2keras ``` - [PyPi](https://pypi.org/project/pytorch2keras) (📥 920 / month · 📦 1 · ⏱️ 14.05.2020): ``` pip install pytorch2keras ```
tfdeploy (🥉16 · ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - [GitHub](https://github.com/riga/tfdeploy) (👨‍💻 4 · 🔀 38 · 📋 33 - 30% open · ⏱️ 08.01.2021): ``` git clone https://github.com/riga/tfdeploy ``` - [PyPi](https://pypi.org/project/tfdeploy) (📥 180 / month · 📦 2 · ⏱️ 30.03.2017): ``` pip install tfdeploy ```
Show 2 hidden projects... - sklearn-porter (🥉18 · ⭐ 1K · 💀) - Transpile trained scikit-learn estimators to C, Java,.. MIT - Larq Compute Engine (🥉18 · ⭐ 140) - Highly optimized inference engine for Binarized.. Apache-2

## Model Interpretability Back to top _Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._
shap (🥇34 · ⭐ 12K) - A game theoretic approach to explain the output of any machine learning model. MIT - [GitHub](https://github.com/slundberg/shap) (👨‍💻 160 · 🔀 1.8K · 📦 2.4K · 📋 1.5K - 66% open · ⏱️ 06.04.2021): ``` git clone https://github.com/slundberg/shap ``` - [PyPi](https://pypi.org/project/shap) (📥 2.8M / month · 📦 140 · ⏱️ 15.01.2021): ``` pip install shap ``` - [Conda](https://anaconda.org/conda-forge/shap) (📥 470K · ⏱️ 29.04.2021): ``` conda install -c conda-forge shap ```
Lime (🥇29 · ⭐ 8.7K) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - [GitHub](https://github.com/marcotcr/lime) (👨‍💻 57 · 🔀 1.4K · 📦 1.2K · 📋 510 - 12% open · ⏱️ 12.01.2021): ``` git clone https://github.com/marcotcr/lime ``` - [PyPi](https://pypi.org/project/lime) (📥 370K / month · 📦 130 · ⏱️ 26.06.2020): ``` pip install lime ``` - [Conda](https://anaconda.org/conda-forge/lime) (📥 71K · ⏱️ 28.06.2020): ``` conda install -c conda-forge lime ```
pyLDAvis (🥇29 · ⭐ 1.4K) - Python library for interactive topic model visualization. Port of.. BSD-3 - [GitHub](https://github.com/bmabey/pyLDAvis) (👨‍💻 32 · 🔀 300 · 📦 2K · 📋 150 - 51% open · ⏱️ 24.03.2021): ``` git clone https://github.com/bmabey/pyLDAvis ``` - [PyPi](https://pypi.org/project/pyldavis) (📥 160K / month · 📦 200 · ⏱️ 24.03.2021): ``` pip install pyldavis ``` - [Conda](https://anaconda.org/conda-forge/pyldavis) (📥 24K · ⏱️ 24.03.2021): ``` conda install -c conda-forge pyldavis ```
InterpretML (🥇27 · ⭐ 3.7K) - Fit interpretable models. Explain blackbox machine learning. MIT - [GitHub](https://github.com/interpretml/interpret) (👨‍💻 23 · 🔀 450 · 📦 73 · 📋 190 - 35% open · ⏱️ 29.04.2021): ``` git clone https://github.com/interpretml/interpret ``` - [PyPi](https://pypi.org/project/interpret) (📥 29K / month · 📦 2 · ⏱️ 20.01.2021): ``` pip install interpret ```
Model Analysis (🥇27 · ⭐ 1.1K) - Model analysis tools for TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 35 · 🔀 220 · 📋 64 - 42% open · ⏱️ 26.04.2021): ``` git clone https://github.com/tensorflow/model-analysis ``` - [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 5.7M / month · 📦 20 · ⏱️ 21.04.2021): ``` pip install tensorflow-model-analysis ```
Lucid (🥈26 · ⭐ 4.2K) - A collection of infrastructure and tools for research in neural.. Apache-2 - [GitHub](https://github.com/tensorflow/lucid) (👨‍💻 40 · 🔀 590 · 📦 550 · 📋 160 - 40% open · ⏱️ 19.03.2021): ``` git clone https://github.com/tensorflow/lucid ``` - [PyPi](https://pypi.org/project/lucid) (📥 1.7K / month · 📦 6 · ⏱️ 19.03.2021): ``` pip install lucid ```
yellowbrick (🥈26 · ⭐ 3.2K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 - [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (👨‍💻 97 · 🔀 480 · 📋 630 - 15% open · ⏱️ 22.04.2021): ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` - [PyPi](https://pypi.org/project/yellowbrick) (📥 160K / month · 📦 62 · ⏱️ 13.02.2021): ``` pip install yellowbrick ```
Captum (🥈26 · ⭐ 2.3K) - Model interpretability and understanding for PyTorch. BSD-3 - [GitHub](https://github.com/pytorch/captum) (👨‍💻 70 · 🔀 230 · 📦 160 · 📋 220 - 22% open · ⏱️ 23.04.2021): ``` git clone https://github.com/pytorch/captum ``` - [PyPi](https://pypi.org/project/captum) (📥 19K / month · ⏱️ 22.01.2021): ``` pip install captum ```
arviz (🥈26 · ⭐ 1K) - Exploratory analysis of Bayesian models with Python. Apache-2 - [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 79 · 🔀 200 · 📥 98 · 📦 850 · 📋 590 - 20% open · ⏱️ 27.04.2021): ``` git clone https://github.com/arviz-devs/arviz ``` - [PyPi](https://pypi.org/project/arviz) (📥 210K / month · 📦 36 · ⏱️ 21.02.2021): ``` pip install arviz ``` - [Conda](https://anaconda.org/conda-forge/arviz) (📥 260K · ⏱️ 20.04.2021): ``` conda install -c conda-forge arviz ```
Fairness 360 (🥈25 · ⭐ 1.4K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIF360) (👨‍💻 43 · 🔀 430 · 📦 81 · 📋 92 - 42% open · ⏱️ 10.03.2021): ``` git clone https://github.com/Trusted-AI/AIF360 ``` - [PyPi](https://pypi.org/project/aif360) (📥 7.8K / month · 📦 4 · ⏱️ 04.03.2021): ``` pip install aif360 ```
DoWhy (🥈24 · ⭐ 2.9K) - DoWhy is a Python library for causal inference that supports explicit.. MIT - [GitHub](https://github.com/microsoft/dowhy) (👨‍💻 41 · 🔀 420 · 📥 23 · 📦 36 · 📋 120 - 23% open · ⏱️ 29.04.2021): ``` git clone https://github.com/Microsoft/dowhy ``` - [PyPi](https://pypi.org/project/dowhy) (📥 22K / month · ⏱️ 03.03.2021): ``` pip install dowhy ``` - [Conda](https://anaconda.org/conda-forge/dowhy) (📥 1.6K · ⏱️ 28.04.2021): ``` conda install -c conda-forge dowhy ```
keras-vis (🥈24 · ⭐ 2.8K · 💤) - Neural network visualization toolkit for keras. MIT - [GitHub](https://github.com/raghakot/keras-vis) (👨‍💻 10 · 🔀 600 · 📦 920 · 📋 210 - 53% open · ⏱️ 20.04.2020): ``` git clone https://github.com/raghakot/keras-vis ``` - [PyPi](https://pypi.org/project/keras-vis) (📥 3.1K / month · 📦 56 · ⏱️ 06.07.2017): ``` pip install keras-vis ```
dtreeviz (🥈24 · ⭐ 1.5K) - A python library for decision tree visualization and model interpretation. MIT - [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 16 · 🔀 200 · 📦 140 · 📋 94 - 18% open · ⏱️ 05.04.2021): ``` git clone https://github.com/parrt/dtreeviz ``` - [PyPi](https://pypi.org/project/dtreeviz) (📥 29K / month · 📦 4 · ⏱️ 05.04.2021): ``` pip install dtreeviz ```
Alibi (🥈23 · ⭐ 970) - Algorithms for monitoring and explaining machine learning models. Apache-2 - [GitHub](https://github.com/SeldonIO/alibi) (👨‍💻 13 · 🔀 130 · 📦 77 · 📋 180 - 46% open · ⏱️ 29.04.2021): ``` git clone https://github.com/SeldonIO/alibi ``` - [PyPi](https://pypi.org/project/alibi) (📥 9.5K / month · 📦 18 · ⏱️ 29.04.2021): ``` pip install alibi ```
keract (🥈23 · ⭐ 880) - Layers Outputs and Gradients in Keras. Made easy. MIT - [GitHub](https://github.com/philipperemy/keract) (👨‍💻 15 · 🔀 180 · 📦 76 · 📋 78 - 3% open · ⏱️ 24.01.2021): ``` git clone https://github.com/philipperemy/keract ``` - [PyPi](https://pypi.org/project/keract) (📥 2.3K / month · 📦 5 · ⏱️ 22.01.2021): ``` pip install keract ```
TreeInterpreter (🥈23 · ⭐ 660) - Package for interpreting scikit-learn's decision tree.. BSD-3 - [GitHub](https://github.com/andosa/treeinterpreter) (👨‍💻 11 · 🔀 130 · 📦 130 · 📋 28 - 85% open · ⏱️ 28.02.2021): ``` git clone https://github.com/andosa/treeinterpreter ``` - [PyPi](https://pypi.org/project/treeinterpreter) (📥 180K / month · 📦 18 · ⏱️ 10.01.2021): ``` pip install treeinterpreter ```
tf-explain (🥈22 · ⭐ 800) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT - [GitHub](https://github.com/sicara/tf-explain) (👨‍💻 14 · 🔀 77 · 📦 69 · 📋 79 - 41% open · ⏱️ 19.04.2021): ``` git clone https://github.com/sicara/tf-explain ``` - [PyPi](https://pypi.org/project/tf-explain) (📥 1.5K / month · 📦 2 · ⏱️ 16.02.2021): ``` pip install tf-explain ```
fairlearn (🥈22 · ⭐ 770) - A Python package to assess and improve fairness of machine.. MIT - [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 35 · 🔀 180 · 📋 200 - 39% open · ⏱️ 29.04.2021): ``` git clone https://github.com/fairlearn/fairlearn ``` - [PyPi](https://pypi.org/project/fairlearn) (📥 17K / month · 📦 2 · ⏱️ 13.04.2021): ``` pip install fairlearn ``` - [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 12K · ⏱️ 13.04.2021): ``` conda install -c conda-forge fairlearn ```
random-forest-importances (🥈22 · ⭐ 440) - Code to compute permutation and drop-column.. MIT - [GitHub](https://github.com/parrt/random-forest-importances) (👨‍💻 14 · 🔀 95 · 📦 70 · 📋 31 - 12% open · ⏱️ 30.01.2021): ``` git clone https://github.com/parrt/random-forest-importances ``` - [PyPi](https://pypi.org/project/rfpimp) (📥 30K / month · 📦 4 · ⏱️ 28.01.2021): ``` pip install rfpimp ```
iNNvestigate (🥉21 · ⭐ 800) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2 - [GitHub](https://github.com/albermax/innvestigate) (👨‍💻 18 · 🔀 180 · 📦 55 · 📋 210 - 35% open · ⏱️ 16.10.2020): ``` git clone https://github.com/albermax/innvestigate ``` - [PyPi](https://pypi.org/project/innvestigate) (📥 480 / month · 📦 1 · ⏱️ 14.11.2020): ``` pip install innvestigate ```
explainerdashboard (🥉21 · ⭐ 470) - Quickly build Explainable AI dashboards that show the inner.. MIT - [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 8 · 🔀 56 · 📦 18 · 📋 92 - 9% open · ⏱️ 13.04.2021): ``` git clone https://github.com/oegedijk/explainerdashboard ``` - [PyPi](https://pypi.org/project/explainerdashboard) (📥 5.8K / month · ⏱️ 22.03.2021): ``` pip install explainerdashboard ```
aequitas (🥉21 · ⭐ 380) - Bias and Fairness Audit Toolkit. MIT - [GitHub](https://github.com/dssg/aequitas) (👨‍💻 16 · 🔀 71 · 📦 71 · 📋 56 - 62% open · ⏱️ 23.02.2021): ``` git clone https://github.com/dssg/aequitas ``` - [PyPi](https://pypi.org/project/aequitas) (📥 1.1K / month · 📦 6 · ⏱️ 16.12.2020): ``` pip install aequitas ```
checklist (🥉20 · ⭐ 1.3K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - [GitHub](https://github.com/marcotcr/checklist) (👨‍💻 10 · 🔀 120 · 📦 7 · 📋 69 - 5% open · ⏱️ 30.03.2021): ``` git clone https://github.com/marcotcr/checklist ``` - [PyPi](https://pypi.org/project/checklist) (📥 1.2K / month · 📦 2 · ⏱️ 21.09.2020): ``` pip install checklist ```
CausalNex (🥉20 · ⭐ 1.1K) - A Python library that helps data scientists to infer.. Apache-2 - [GitHub](https://github.com/quantumblacklabs/causalnex) (👨‍💻 18 · 🔀 120 · 📦 11 · 📋 74 - 47% open · ⏱️ 13.04.2021): ``` git clone https://github.com/quantumblacklabs/causalnex ``` - [PyPi](https://pypi.org/project/causalnex) (📥 5.2K / month · ⏱️ 11.03.2021): ``` pip install causalnex ```
Explainability 360 (🥉20 · ⭐ 820) - Interpretability and explainability of data and machine.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIX360) (👨‍💻 27 · 🔀 170 · 📦 16 · 📋 45 - 57% open · ⏱️ 04.12.2020): ``` git clone https://github.com/Trusted-AI/AIX360 ``` - [PyPi](https://pypi.org/project/aix360) (📥 980 / month · 📦 1 · ⏱️ 28.10.2020): ``` pip install aix360 ```
What-If Tool (🥉20 · ⭐ 500) - Source code/webpage/demos for the What-If Tool. Apache-2 - [GitHub](https://github.com/PAIR-code/what-if-tool) (👨‍💻 19 · 🔀 100 · 📋 74 - 50% open · ⏱️ 17.03.2021): ``` git clone https://github.com/PAIR-code/what-if-tool ``` - [PyPi](https://pypi.org/project/witwidget) (📥 10K / month · ⏱️ 19.01.2021): ``` pip install witwidget ``` - [NPM](https://www.npmjs.com/package/wit-widget) (📥 3.2K / month · ⏱️ 19.01.2021): ``` npm install wit-widget ```
sklearn-evaluation (🥉20 · ⭐ 300) - Machine learning model evaluation made easy: plots,.. MIT - [GitHub](https://github.com/edublancas/sklearn-evaluation) (👨‍💻 5 · 🔀 27 · 📦 27 · 📋 37 - 24% open · ⏱️ 28.03.2021): ``` git clone https://github.com/edublancas/sklearn-evaluation ``` - [PyPi](https://pypi.org/project/sklearn-evaluation) (📥 620 / month · 📦 2 · ⏱️ 28.03.2021): ``` pip install sklearn-evaluation ```
XAI (🥉19 · ⭐ 620 · 📈) - XAI - An eXplainability toolbox for machine learning. MIT - [GitHub](https://github.com/EthicalML/xai) (👨‍💻 3 · 🔀 94 · 📦 11 · 📋 7 - 57% open · ⏱️ 23.04.2021): ``` git clone https://github.com/EthicalML/xai ``` - [PyPi](https://pypi.org/project/xai) (📥 3.2K / month · 📦 6 · ⏱️ 21.04.2019): ``` pip install xai ```
deeplift (🥉19 · ⭐ 520) - Public facing deeplift repo. MIT - [GitHub](https://github.com/kundajelab/deeplift) (👨‍💻 11 · 🔀 130 · 📦 44 · 📋 76 - 38% open · ⏱️ 11.11.2020): ``` git clone https://github.com/kundajelab/deeplift ``` - [PyPi](https://pypi.org/project/deeplift) (📥 810 / month · 📦 4 · ⏱️ 11.11.2020): ``` pip install deeplift ```
tcav (🥉19 · ⭐ 450) - Code for the TCAV ML interpretability project. Apache-2 - [GitHub](https://github.com/tensorflow/tcav) (👨‍💻 18 · 🔀 100 · 📦 6 · 📋 49 - 8% open · ⏱️ 23.03.2021): ``` git clone https://github.com/tensorflow/tcav ``` - [PyPi](https://pypi.org/project/tcav) (📥 170 / month · 📦 2 · ⏱️ 23.02.2021): ``` pip install tcav ```
LIT (🥉18 · ⭐ 2.5K) - The Language Interpretability Tool: Interactively analyze NLP models for.. Apache-2 - [GitHub](https://github.com/PAIR-code/lit) (👨‍💻 14 · 🔀 250 · 📦 3 · 📋 90 - 53% open · ⏱️ 05.04.2021): ``` git clone https://github.com/PAIR-code/lit ``` - [PyPi](https://pypi.org/project/lit-nlp) (📥 520 / month · ⏱️ 05.04.2021): ``` pip install lit-nlp ```
DiCE (🥉18 · ⭐ 520) - Generate Diverse Counterfactual Explanations for any machine.. MIT - [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 10 · 🔀 76 · 📋 40 - 35% open · ⏱️ 28.04.2021): ``` git clone https://github.com/interpretml/DiCE ``` - [PyPi](https://pypi.org/project/dice-ml) (📥 1.8K / month · ⏱️ 28.04.2021): ``` pip install dice-ml ```
imodels (🥉18 · ⭐ 210) - Interpretable ML package for concise, transparent, and accurate predictive.. MIT - [GitHub](https://github.com/csinva/imodels) (👨‍💻 3 · 🔀 19 · 📦 7 · 📋 11 - 9% open · ⏱️ 28.04.2021): ``` git clone https://github.com/csinva/imodels ``` - [PyPi](https://pypi.org/project/imodels) (📥 380 / month · ⏱️ 11.03.2021): ``` pip install imodels ```
fairness-indicators (🥉18 · ⭐ 190) - Tensorflow's Fairness Evaluation and Visualization.. Apache-2 - [GitHub](https://github.com/tensorflow/fairness-indicators) (👨‍💻 20 · 🔀 54 · 📋 20 - 65% open · ⏱️ 28.04.2021): ``` git clone https://github.com/tensorflow/fairness-indicators ``` - [PyPi](https://pypi.org/project/fairness-indicators) (📥 910 / month · ⏱️ 08.04.2021): ``` pip install fairness-indicators ```
ExplainX.ai (🥉17 · ⭐ 200) - Explainable AI framework for data scientists. Explain & debug any.. MIT - [GitHub](https://github.com/explainX/explainx) (👨‍💻 4 · 🔀 34 · 📥 1 · 📋 27 - 37% open · ⏱️ 02.02.2021): ``` git clone https://github.com/explainX/explainx ``` - [PyPi](https://pypi.org/project/explainx) (📥 1K / month · ⏱️ 04.02.2021): ``` pip install explainx ```
model-card-toolkit (🥉17 · ⭐ 190) - a tool that leverages rich metadata and lineage.. Apache-2 - [GitHub](https://github.com/tensorflow/model-card-toolkit) (👨‍💻 9 · 🔀 27 · 📦 2 · 📋 14 - 85% open · ⏱️ 20.04.2021): ``` git clone https://github.com/tensorflow/model-card-toolkit ``` - [PyPi](https://pypi.org/project/model-card-toolkit) (📥 380 / month · ⏱️ 05.02.2021): ``` pip install model-card-toolkit ```
FlashTorch (🥉16 · ⭐ 580) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - [GitHub](https://github.com/MisaOgura/flashtorch) (👨‍💻 2 · 🔀 66 · 📦 6 · 📋 27 - 22% open · ⏱️ 27.04.2021): ``` git clone https://github.com/MisaOgura/flashtorch ``` - [PyPi](https://pypi.org/project/flashtorch) (📥 260 / month · ⏱️ 29.05.2020): ``` pip install flashtorch ```
LOFO (🥉16 · ⭐ 320 · 💤) - Leave One Feature Out Importance. MIT - [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 3 · 🔀 40 · 📦 3 · 📋 12 - 16% open · ⏱️ 02.07.2020): ``` git clone https://github.com/aerdem4/lofo-importance ``` - [PyPi](https://pypi.org/project/lofo-importance) (📥 210 / month · ⏱️ 02.07.2020): ``` pip install lofo-importance ```
Anchor (🥉15 · ⭐ 630) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - [GitHub](https://github.com/marcotcr/anchor) (👨‍💻 8 · 🔀 87 · 📋 61 - 24% open · ⏱️ 19.04.2021): ``` git clone https://github.com/marcotcr/anchor ``` - [PyPi](https://pypi.org/project/anchor_exp) (📥 750 / month · ⏱️ 26.06.2020): ``` pip install anchor_exp ```
Show 7 hidden projects... - eli5 (🥇27 · ⭐ 2.4K · 💀) - A library for debugging/inspecting machine learning classifiers and.. MIT - scikit-plot (🥈26 · ⭐ 2.1K · 💀) - An intuitive library to add plotting functionality to.. MIT - DALEX (🥉20 · ⭐ 810) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - Skater (🥉19 · ⭐ 970 · 💤) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - contextual-ai (🥉16 · ⭐ 68) - Contextual AI adds explainability to different stages of.. Apache-2 - Attribution Priors (🥉14 · ⭐ 74) - Tools for training explainable models using.. MIT - bias-detector (🥉13 · ⭐ 21 · 🐣) - Bias Detector is a python package for detecting bias in machine.. MIT

## Vector Similarity Search (ANN) Back to top _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._ 🔗 ANN Benchmarks ( ⭐ 2.2K) - Benchmarks of approximate nearest neighbor libraries in Python.
Annoy (🥇30 · ⭐ 8.4K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 - [GitHub](https://github.com/spotify/annoy) (👨‍💻 68 · 🔀 900 · 📦 1.6K · 📋 310 - 12% open · ⏱️ 03.12.2020): ``` git clone https://github.com/spotify/annoy ``` - [PyPi](https://pypi.org/project/annoy) (📥 580K / month · 📦 360 · ⏱️ 18.09.2020): ``` pip install annoy ```
Faiss (🥇29 · ⭐ 13K) - A library for efficient similarity search and clustering of dense vectors. MIT - [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 84 · 🔀 2.2K · 📦 360 · 📋 1.5K - 8% open · ⏱️ 27.04.2021): ``` git clone https://github.com/facebookresearch/faiss ``` - [PyPi](https://pypi.org/project/pymilvus) (📥 16K / month · 📦 6 · ⏱️ 29.04.2021): ``` pip install pymilvus ``` - [Conda](https://anaconda.org/conda-forge/faiss) (📥 81K · ⏱️ 19.04.2021): ``` conda install -c conda-forge faiss ```
NMSLIB (🥇29 · ⭐ 2.4K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 - [GitHub](https://github.com/nmslib/nmslib) (👨‍💻 44 · 🔀 340 · 📦 360 · 📋 360 - 11% open · ⏱️ 16.03.2021): ``` git clone https://github.com/nmslib/nmslib ``` - [PyPi](https://pypi.org/project/nmslib) (📥 71K / month · 📦 52 · ⏱️ 03.02.2021): ``` pip install nmslib ``` - [Conda](https://anaconda.org/conda-forge/nmslib) (📥 25K · ⏱️ 08.01.2021): ``` conda install -c conda-forge nmslib ```
hnswlib (🥈26 · ⭐ 1.5K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 - [GitHub](https://github.com/nmslib/hnswlib) (👨‍💻 41 · 🔀 260 · 📦 110 · 📋 200 - 45% open · ⏱️ 04.02.2021): ``` git clone https://github.com/nmslib/hnswlib ``` - [PyPi](https://pypi.org/project/hnswlib) (📥 37K / month · 📦 2 · ⏱️ 04.02.2021): ``` pip install hnswlib ```
Milvus (🥈25 · ⭐ 5.6K) - An open source embedding vector similarity search engine powered by.. Apache-2 - [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 130 · 🔀 860 · 📋 2.2K - 9% open · ⏱️ 29.04.2021): ``` git clone https://github.com/milvus-io/milvus ``` - [PyPi](https://pypi.org/project/pymilvus) (📥 16K / month · 📦 6 · ⏱️ 29.04.2021): ``` pip install pymilvus ``` - [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 320K · ⭐ 11 · ⏱️ 29.04.2021): ``` docker pull milvusdb/milvus ```
PyNNDescent (🥈25 · ⭐ 390) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 - [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 13 · 🔀 49 · 📦 420 · 📋 64 - 43% open · ⏱️ 12.03.2021): ``` git clone https://github.com/lmcinnes/pynndescent ``` - [PyPi](https://pypi.org/project/pynndescent) (📥 380K / month · 📦 6 · ⏱️ 08.02.2021): ``` pip install pynndescent ``` - [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 110K · ⏱️ 09.02.2021): ``` conda install -c conda-forge pynndescent ```
Magnitude (🥉24 · ⭐ 1.4K · 💤) - A fast, efficient universal vector embedding utility package. MIT - [GitHub](https://github.com/plasticityai/magnitude) (👨‍💻 4 · 🔀 100 · 📦 190 · 📋 77 - 35% open · ⏱️ 17.07.2020): ``` git clone https://github.com/plasticityai/magnitude ``` - [PyPi](https://pypi.org/project/pymagnitude) (📥 10K / month · 📦 14 · ⏱️ 25.05.2020): ``` pip install pymagnitude ```
NGT (🥉20 · ⭐ 700) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 - [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 11 · 🔀 73 · 📋 81 - 8% open · ⏱️ 14.04.2021): ``` git clone https://github.com/yahoojapan/NGT ``` - [PyPi](https://pypi.org/project/ngt) (📥 11K / month · 📦 6 · ⏱️ 23.09.2020): ``` pip install ngt ```
N2 (🥉19 · ⭐ 460) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2 - [GitHub](https://github.com/kakao/n2) (👨‍💻 17 · 🔀 52 · 📦 15 · 📋 39 - 43% open · ⏱️ 21.10.2020): ``` git clone https://github.com/kakao/n2 ``` - [PyPi](https://pypi.org/project/n2) (📥 2.8K / month · 📦 4 · ⏱️ 16.10.2020): ``` pip install n2 ```
Show 2 hidden projects... - NearPy (🥉20 · ⭐ 670 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. MIT - PySparNN (🥉11 · ⭐ 870 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

## Probabilistics & Statistics Back to top _Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._
PyMC3 (🥇32 · ⭐ 5.7K) - Probabilistic Programming in Python: Bayesian Modeling and.. Apache-2 - [GitHub](https://github.com/pymc-devs/pymc3) (👨‍💻 310 · 🔀 1.4K · 📥 160 · 📦 2.4K · 📋 2.2K - 8% open · ⏱️ 05.04.2021): ``` git clone https://github.com/pymc-devs/pymc3 ``` - [PyPi](https://pypi.org/project/pymc3) (📥 200K / month · 📦 290 · ⏱️ 14.03.2021): ``` pip install pymc3 ``` - [Conda](https://anaconda.org/conda-forge/pymc3) (📥 270K · ⏱️ 15.03.2021): ``` conda install -c conda-forge pymc3 ```
tensorflow-probability (🥇32 · ⭐ 3.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2 - [GitHub](https://github.com/tensorflow/probability) (👨‍💻 410 · 🔀 880 · 📦 1 · 📋 1K - 44% open · ⏱️ 28.04.2021): ``` git clone https://github.com/tensorflow/probability ``` - [PyPi](https://pypi.org/project/tensorflow-probability) (📥 750K / month · 📦 250 · ⏱️ 29.12.2020): ``` pip install tensorflow-probability ``` - [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 34K · ⏱️ 20.04.2021): ``` conda install -c conda-forge tensorflow-probability ```
GPyTorch (🥇29 · ⭐ 2.4K) - A highly efficient and modular implementation of Gaussian Processes.. MIT - [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 78 · 🔀 340 · 📦 260 · 📋 900 - 23% open · ⏱️ 26.04.2021): ``` git clone https://github.com/cornellius-gp/gpytorch ``` - [PyPi](https://pypi.org/project/gpytorch) (📥 67K / month · 📦 8 · ⏱️ 15.04.2021): ``` pip install gpytorch ```
hmmlearn (🥇29 · ⭐ 2.2K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 - [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 32 · 🔀 650 · 📦 950 · 📋 360 - 18% open · ⏱️ 16.04.2021): ``` git clone https://github.com/hmmlearn/hmmlearn ``` - [PyPi](https://pypi.org/project/hmmlearn) (📥 150K / month · 📦 210 · ⏱️ 03.02.2021): ``` pip install hmmlearn ``` - [Conda](https://anaconda.org/conda-forge/hmmlearn) (📥 76K · ⏱️ 04.02.2021): ``` conda install -c conda-forge hmmlearn ```
Pyro (🥈28 · ⭐ 6.9K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 - [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 110 · 🔀 830 · 📦 440 · 📋 830 - 16% open · ⏱️ 28.04.2021): ``` git clone https://github.com/pyro-ppl/pyro ``` - [PyPi](https://pypi.org/project/pyro-ppl) (📥 35K / month · 📦 36 · ⏱️ 04.03.2021): ``` pip install pyro-ppl ```
pomegranate (🥈27 · ⭐ 2.7K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT - [GitHub](https://github.com/jmschrei/pomegranate) (👨‍💻 62 · 🔀 480 · 📦 440 · 📋 600 - 7% open · ⏱️ 29.03.2021): ``` git clone https://github.com/jmschrei/pomegranate ``` - [PyPi](https://pypi.org/project/pomegranate) (📥 44K / month · 📦 56 · ⏱️ 29.03.2021): ``` pip install pomegranate ``` - [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 55K · ⏱️ 01.11.2020): ``` conda install -c conda-forge pomegranate ```
filterpy (🥈27 · ⭐ 1.8K) - Python Kalman filtering and optimal estimation library. Implements.. MIT - [GitHub](https://github.com/rlabbe/filterpy) (👨‍💻 33 · 🔀 420 · 📦 820 · 📋 180 - 17% open · ⏱️ 08.02.2021): ``` git clone https://github.com/rlabbe/filterpy ``` - [PyPi](https://pypi.org/project/filterpy) (📥 40K / month · 📦 210 · ⏱️ 10.10.2018): ``` pip install filterpy ``` - [Conda](https://anaconda.org/conda-forge/filterpy) (📥 60K · ⏱️ 05.05.2020): ``` conda install -c conda-forge filterpy ```
GPflow (🥈27 · ⭐ 1.4K) - Gaussian processes in TensorFlow. Apache-2 - [GitHub](https://github.com/GPflow/GPflow) (👨‍💻 71 · 🔀 400 · 📦 240 · 📋 710 - 14% open · ⏱️ 29.04.2021): ``` git clone https://github.com/GPflow/GPflow ``` - [PyPi](https://pypi.org/project/gpflow) (📥 4.7K / month · 📦 34 · ⏱️ 29.04.2021): ``` pip install gpflow ``` - [Conda](https://anaconda.org/conda-forge/gpflow) (📥 8.8K · ⏱️ 06.11.2018): ``` conda install -c conda-forge gpflow ```
pgmpy (🥉25 · ⭐ 1.8K) - Python Library for learning (Structure and Parameter) and inference.. MIT - [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 91 · 🔀 570 · 📥 71 · 📦 220 · 📋 740 - 31% open · ⏱️ 26.04.2021): ``` git clone https://github.com/pgmpy/pgmpy ``` - [PyPi](https://pypi.org/project/pgmpy) (📥 31K / month · 📦 12 · ⏱️ 31.03.2021): ``` pip install pgmpy ```
SALib (🥉24 · ⭐ 460) - Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris,.. MIT - [GitHub](https://github.com/SALib/SALib) (👨‍💻 25 · 🔀 150 · 📋 230 - 16% open · ⏱️ 21.04.2021): ``` git clone https://github.com/SALib/SALib ``` - [PyPi](https://pypi.org/project/salib) (📥 23K / month · 📦 44 · ⏱️ 21.04.2021): ``` pip install salib ``` - [Conda](https://anaconda.org/conda-forge/salib) (📥 62K · ⏱️ 24.10.2020): ``` conda install -c conda-forge salib ```
scikit-posthocs (🥉21 · ⭐ 200) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT - [GitHub](https://github.com/maximtrp/scikit-posthocs) (👨‍💻 8 · 🔀 21 · 📥 19 · 📋 40 - 10% open · ⏱️ 15.03.2021): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` - [PyPi](https://pypi.org/project/scikit-posthocs) (📥 16K / month · 📦 6 · ⏱️ 15.03.2021): ``` pip install scikit-posthocs ```
bambi (🥉20 · ⭐ 600) - BAyesian Model-Building Interface (Bambi) in Python. MIT - [GitHub](https://github.com/bambinos/bambi) (👨‍💻 16 · 🔀 52 · 📦 13 · 📋 170 - 19% open · ⏱️ 26.04.2021): ``` git clone https://github.com/bambinos/bambi ``` - [PyPi](https://pypi.org/project/bambi) (📥 520 / month · 📦 3 · ⏱️ 06.04.2021): ``` pip install bambi ```
pyhsmm (🥉20 · ⭐ 490 · 💤) - Bayesian inference in HSMMs and HMMs. MIT - [GitHub](https://github.com/mattjj/pyhsmm) (👨‍💻 13 · 🔀 150 · 📦 18 · 📋 94 - 36% open · ⏱️ 24.08.2020): ``` git clone https://github.com/mattjj/pyhsmm ``` - [PyPi](https://pypi.org/project/pyhsmm) (📥 230 / month · 📦 8 · ⏱️ 10.05.2017): ``` pip install pyhsmm ```
Orbit (🥉19 · ⭐ 400) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 - [GitHub](https://github.com/uber/orbit) (👨‍💻 10 · 🔀 28 · 📦 4 · 📋 200 - 9% open · ⏱️ 28.04.2021): ``` git clone https://github.com/uber/orbit ``` - [PyPi](https://pypi.org/project/orbit-ml) (📥 380 / month · ⏱️ 03.04.2021): ``` pip install orbit-ml ```
Funsor (🥉19 · ⭐ 170) - Functional tensors for probabilistic programming. Apache-2 - [GitHub](https://github.com/pyro-ppl/funsor) (👨‍💻 9 · 🔀 15 · 📦 13 · 📋 140 - 51% open · ⏱️ 16.04.2021): ``` git clone https://github.com/pyro-ppl/funsor ``` - [PyPi](https://pypi.org/project/funsor) (📥 520 / month · ⏱️ 24.01.2021): ``` pip install funsor ```
Baal (🥉18 · ⭐ 340) - Using approximate bayesian posteriors in deep nets for active learning. Apache-2 - [GitHub](https://github.com/ElementAI/baal) (👨‍💻 8 · 🔀 32 · 📦 7 · 📋 42 - 26% open · ⏱️ 22.04.2021): ``` git clone https://github.com/ElementAI/baal ``` - [PyPi](https://pypi.org/project/baal) (📥 410 / month · ⏱️ 16.03.2021): ``` pip install baal ```
Show 5 hidden projects... - patsy (🥈27 · ⭐ 740 · 💀) - Describing statistical models in Python using symbolic formulas. BSD-2 - Edward (🥉25 · ⭐ 4.6K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - pingouin (🥉23 · ⭐ 700) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - PyStan (🥉22 · ⭐ 66) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC - ZhuSuan (🥉14 · ⭐ 2K · 💀) - A probabilistic programming library for Bayesian deep learning,.. MIT

## Adversarial Robustness Back to top _Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._
CleverHans (🥇27 · ⭐ 5.1K) - An adversarial example library for constructing attacks,.. MIT - [GitHub](https://github.com/cleverhans-lab/cleverhans) (👨‍💻 120 · 🔀 1.3K · 📦 210 · 📋 440 - 5% open · ⏱️ 20.04.2021): ``` git clone https://github.com/cleverhans-lab/cleverhans ``` - [PyPi](https://pypi.org/project/cleverhans) (📥 840 / month · 📦 16 · ⏱️ 28.04.2021): ``` pip install cleverhans ```
Foolbox (🥇27 · ⭐ 1.9K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT - [GitHub](https://github.com/bethgelab/foolbox) (👨‍💻 31 · 🔀 340 · 📦 180 · 📋 320 - 16% open · ⏱️ 19.03.2021): ``` git clone https://github.com/bethgelab/foolbox ``` - [PyPi](https://pypi.org/project/foolbox) (📥 2.6K / month · 📦 18 · ⏱️ 23.02.2021): ``` pip install foolbox ```
TextAttack (🥈25 · ⭐ 1.4K) - TextAttack is a Python framework for adversarial attacks, data.. MIT - [GitHub](https://github.com/QData/TextAttack) (👨‍💻 34 · 🔀 160 · 📦 22 · 📋 120 - 33% open · ⏱️ 23.04.2021): ``` git clone https://github.com/QData/TextAttack ``` - [PyPi](https://pypi.org/project/textattack) (📥 2.6K / month · ⏱️ 27.12.2020): ``` pip install textattack ```
ART (🥉23 · ⭐ 2.2K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT - [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 66 · 🔀 610 · 📦 110 · 📋 490 - 12% open · ⏱️ 28.04.2021): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` - [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 4.3K / month · ⏱️ 16.03.2021): ``` pip install adversarial-robustness-toolbox ```
robustness (🥉19 · ⭐ 520) - A library for experimenting with, training and evaluating neural.. MIT - [GitHub](https://github.com/MadryLab/robustness) (👨‍💻 12 · 🔀 95 · 📦 46 · 📋 58 - 10% open · ⏱️ 04.03.2021): ``` git clone https://github.com/MadryLab/robustness ``` - [PyPi](https://pypi.org/project/robustness) (📥 470 / month · 📦 2 · ⏱️ 01.12.2020): ``` pip install robustness ```
AdvBox (🥉17 · ⭐ 1.1K · 💤) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 - [GitHub](https://github.com/advboxes/AdvBox) (👨‍💻 19 · 🔀 230 · 📋 36 - 22% open · ⏱️ 26.08.2020): ``` git clone https://github.com/advboxes/AdvBox ``` - [PyPi](https://pypi.org/project/advbox) (📥 76 / month · ⏱️ 05.12.2018): ``` pip install advbox ```
Show 2 hidden projects... - advertorch (🥉19 · ⭐ 850 · 💤) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - Adversary (🥉14 · ⭐ 350 · 💀) - Tool to generate adversarial text examples and test machine.. MIT

## GPU Utilities Back to top _Libraries that require and make use of CUDA/GPU system capabilities to optimize data handling and machine learning tasks._
CuPy (🥇32 · ⭐ 5.1K) - A NumPy-compatible array library accelerated by CUDA. MIT - [GitHub](https://github.com/cupy/cupy) (👨‍💻 260 · 🔀 460 · 📥 15K · 📦 720 · 📋 1.3K - 24% open · ⏱️ 29.04.2021): ``` git clone https://github.com/cupy/cupy ``` - [PyPi](https://pypi.org/project/cupy) (📥 89K / month · 📦 190 · ⏱️ 22.04.2021): ``` pip install cupy ``` - [Conda](https://anaconda.org/conda-forge/cupy) (📥 540K · ⏱️ 23.04.2021): ``` conda install -c conda-forge cupy ``` - [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 50K · ⭐ 6 · ⏱️ 29.04.2021): ``` docker pull cupy/cupy ```
gpustat (🥇27 · ⭐ 2.3K) - A simple command-line utility for querying and monitoring GPU status. MIT - [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 12 · 🔀 200 · 📦 800 · 📋 68 - 27% open · ⏱️ 23.03.2021): ``` git clone https://github.com/wookayin/gpustat ``` - [PyPi](https://pypi.org/project/gpustat) (📥 400K / month · 📦 58 · ⏱️ 02.01.2021): ``` pip install gpustat ``` - [Conda](https://anaconda.org/conda-forge/gpustat) (📥 51K · ⏱️ 24.11.2020): ``` conda install -c conda-forge gpustat ```
PyCUDA (🥈25 · ⭐ 1.1K) - CUDA integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pycuda) (👨‍💻 70 · 🔀 220 · 📦 820 · 📋 190 - 28% open · ⏱️ 16.04.2021): ``` git clone https://github.com/inducer/pycuda ``` - [PyPi](https://pypi.org/project/pycuda) (📥 54K / month · 📦 290 · ⏱️ 03.04.2021): ``` pip install pycuda ```
ArrayFire (🥈24 · ⭐ 3.5K) - ArrayFire: a general purpose GPU library. BSD-3 - [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 80 · 🔀 480 · 📥 1.1K · 📋 1.5K - 16% open · ⏱️ 23.03.2021): ``` git clone https://github.com/arrayfire/arrayfire ``` - [PyPi](https://pypi.org/project/arrayfire) (📥 1.1K / month · 📦 8 · ⏱️ 05.03.2021): ``` pip install arrayfire ```
Apex (🥈23 · ⭐ 5.3K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 - [GitHub](https://github.com/NVIDIA/apex) (👨‍💻 82 · 🔀 730 · 📦 540 · 📋 840 - 55% open · ⏱️ 19.04.2021): ``` git clone https://github.com/NVIDIA/apex ``` - [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 42K · ⏱️ 22.04.2021): ``` conda install -c conda-forge nvidia-apex ```
scikit-cuda (🥈23 · ⭐ 820) - Python interface to GPU-powered libraries. BSD-3 - [GitHub](https://github.com/lebedov/scikit-cuda) (👨‍💻 44 · 🔀 160 · 📦 130 · 📋 210 - 20% open · ⏱️ 30.03.2021): ``` git clone https://github.com/lebedov/scikit-cuda ``` - [PyPi](https://pypi.org/project/scikit-cuda) (📥 840 / month · 📦 70 · ⏱️ 27.05.2019): ``` pip install scikit-cuda ```
cuDF (🥉22 · ⭐ 3.9K) - cuDF - GPU DataFrame Library. Apache-2 - [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 210 · 🔀 510 · 📋 3.6K - 16% open · ⏱️ 29.04.2021): ``` git clone https://github.com/rapidsai/cudf ``` - [PyPi](https://pypi.org/project/cudf) (📥 1.7K / month · 📦 4 · ⏱️ 01.06.2020): ``` pip install cudf ```
py3nvml (🥉22 · ⭐ 170 · 💤) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - [GitHub](https://github.com/fbcotter/py3nvml) (👨‍💻 6 · 🔀 24 · 📦 260 · 📋 11 - 9% open · ⏱️ 23.04.2020): ``` git clone https://github.com/fbcotter/py3nvml ``` - [PyPi](https://pypi.org/project/py3nvml) (📥 110K / month · 📦 20 · ⏱️ 06.04.2020): ``` pip install py3nvml ``` - [Conda](https://anaconda.org/conda-forge/py3nvml) (📥 16K · ⏱️ 10.10.2020): ``` conda install -c conda-forge py3nvml ```
DALI (🥉20 · ⭐ 3.3K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 - [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 57 · 🔀 380 · 📋 960 - 17% open · ⏱️ 27.04.2021): ``` git clone https://github.com/NVIDIA/DALI ```
cuML (🥉19 · ⭐ 2.1K) - cuML - RAPIDS Machine Learning Library. Apache-2 - [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 130 · 🔀 330 · 📋 1.7K - 36% open · ⏱️ 29.04.2021): ``` git clone https://github.com/rapidsai/cuml ``` - [PyPi](https://pypi.org/project/cuml) (📥 930 / month · ⏱️ 01.06.2020): ``` pip install cuml ```
Vulkan Kompute (🥉18 · ⭐ 380) - General purpose GPU compute framework for cross vendor.. Apache-2 - [GitHub](https://github.com/EthicalML/vulkan-kompute) (👨‍💻 11 · 🔀 31 · 📥 51 · 📦 2 · 📋 140 - 32% open · ⏱️ 24.04.2021): ``` git clone https://github.com/EthicalML/vulkan-kompute ``` - [PyPi](https://pypi.org/project/kp) (📥 210 / month · ⏱️ 14.03.2021): ``` pip install kp ```
BlazingSQL (🥉17 · ⭐ 1.5K) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - [GitHub](https://github.com/BlazingDB/blazingsql) (👨‍💻 42 · 🔀 140 · 📋 670 - 16% open · ⏱️ 29.04.2021): ``` git clone https://github.com/BlazingDB/blazingsql ``` - [Conda](https://anaconda.org/blazingsql/blazingsql-protocol) (📥 920 · ⏱️ 11.11.2019): ``` conda install -c blazingsql blazingsql-protocol ```
cuGraph (🥉17 · ⭐ 700) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 - [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 61 · 🔀 150 · 📋 650 - 17% open · ⏱️ 29.04.2021): ``` git clone https://github.com/rapidsai/cugraph ``` - [PyPi](https://pypi.org/project/cugraph) (📥 120 / month · ⏱️ 01.06.2020): ``` pip install cugraph ```
cuSignal (🥉15 · ⭐ 480) - GPU accelerated signal processing. Apache-2 - [GitHub](https://github.com/rapidsai/cusignal) (👨‍💻 30 · 🔀 62 · 📋 110 - 13% open · ⏱️ 29.04.2021): ``` git clone https://github.com/rapidsai/cusignal ```
Show 4 hidden projects... - GPUtil (🥈23 · ⭐ 710 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - nvidia-ml-py3 (🥉19 · ⭐ 66 · 💀) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - SpeedTorch (🥉17 · ⭐ 620 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT - ipyexperiments (🥉17 · ⭐ 130) - jupyter/ipython experiment containers for GPU and.. Apache-2

## Tensorflow Utilities Back to top _Libraries that extend TensorFlow with additional capabilities._
tensor2tensor (🥇32 · ⭐ 11K) - Library of deep learning models and datasets designed to.. Apache-2 - [GitHub](https://github.com/tensorflow/tensor2tensor) (👨‍💻 230 · 🔀 2.8K · 📦 960 · 📋 1.2K - 45% open · ⏱️ 05.03.2021): ``` git clone https://github.com/tensorflow/tensor2tensor ``` - [PyPi](https://pypi.org/project/tensor2tensor) (📥 92K / month · 📦 160 · ⏱️ 17.06.2020): ``` pip install tensor2tensor ```
tensorflow-hub (🥇32 · ⭐ 2.8K) - A library for transfer learning by reusing parts of.. Apache-2 - [GitHub](https://github.com/tensorflow/hub) (👨‍💻 69 · 🔀 1.5K · 📦 6.4K · 📋 580 - 5% open · ⏱️ 28.04.2021): ``` git clone https://github.com/tensorflow/hub ``` - [PyPi](https://pypi.org/project/tensorflow-hub) (📥 1.7M / month · 📦 310 · ⏱️ 14.04.2021): ``` pip install tensorflow-hub ``` - [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 52K · ⏱️ 18.04.2021): ``` conda install -c conda-forge tensorflow-hub ```
TF Addons (🥇32 · ⭐ 1.3K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 - [GitHub](https://github.com/tensorflow/addons) (👨‍💻 160 · 🔀 420 · 📦 2.8K · 📋 820 - 21% open · ⏱️ 28.04.2021): ``` git clone https://github.com/tensorflow/addons ``` - [PyPi](https://pypi.org/project/tensorflow-addons) (📥 1.1M / month · 📦 18 · ⏱️ 30.01.2021): ``` pip install tensorflow-addons ```
TensorFlow Transform (🥈29 · ⭐ 860) - Input pipeline framework. Apache-2 - [GitHub](https://github.com/tensorflow/transform) (👨‍💻 27 · 🔀 170 · 📦 440 · 📋 160 - 15% open · ⏱️ 27.04.2021): ``` git clone https://github.com/tensorflow/transform ``` - [PyPi](https://pypi.org/project/tensorflow-transform) (📥 7.3M / month · 📦 84 · ⏱️ 26.04.2021): ``` pip install tensorflow-transform ```
TF Model Optimization (🥈26 · ⭐ 1K) - A toolkit to optimize ML models for deployment for.. Apache-2 - [GitHub](https://github.com/tensorflow/model-optimization) (👨‍💻 49 · 🔀 240 · 📦 760 · 📋 200 - 42% open · ⏱️ 29.04.2021): ``` git clone https://github.com/tensorflow/model-optimization ``` - [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 140K / month · 📦 6 · ⏱️ 19.04.2021): ``` pip install tensorflow-model-optimization ```
efficientnet (🥉25 · ⭐ 1.8K · 💤) - Implementation of EfficientNet model. Keras and.. Apache-2 - [GitHub](https://github.com/qubvel/efficientnet) (👨‍💻 8 · 🔀 400 · 📥 170K · 📦 580 · 📋 110 - 50% open · ⏱️ 15.09.2020): ``` git clone https://github.com/qubvel/efficientnet ``` - [PyPi](https://pypi.org/project/efficientnet) (📥 120K / month · 📦 4 · ⏱️ 15.09.2020): ``` pip install efficientnet ```
TensorFlow I/O (🥉24 · ⭐ 450 · 📉) - Dataset, streaming, and file system extensions.. Apache-2 - [GitHub](https://github.com/tensorflow/io) (👨‍💻 73 · 🔀 160 · 📋 410 - 31% open · ⏱️ 28.04.2021): ``` git clone https://github.com/tensorflow/io ``` - [PyPi](https://pypi.org/project/tensorflow-io) (📥 120K / month · ⏱️ 15.12.2020): ``` pip install tensorflow-io ```
TensorFlow Cloud (🥉24 · ⭐ 240) - The TensorFlow Cloud repository provides APIs that.. Apache-2 - [GitHub](https://github.com/tensorflow/cloud) (👨‍💻 18 · 🔀 48 · 📦 48 · 📋 72 - 65% open · ⏱️ 27.04.2021): ``` git clone https://github.com/tensorflow/cloud ``` - [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 220K / month · ⏱️ 09.02.2021): ``` pip install tensorflow-cloud ```
Neural Structured Learning (🥉22 · ⭐ 810) - Training neural models with structured signals. Apache-2 - [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨‍💻 27 · 🔀 140 · 📦 58 · 📋 46 - 13% open · ⏱️ 29.04.2021): ``` git clone https://github.com/tensorflow/neural-structured-learning ``` - [PyPi](https://pypi.org/project/neural-structured-learning) (📥 6.1K / month · ⏱️ 18.08.2020): ``` pip install neural-structured-learning ```
Saliency (🥉20 · ⭐ 660) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2 - [GitHub](https://github.com/PAIR-code/saliency) (👨‍💻 14 · 🔀 150 · 📦 15 · 📋 24 - 58% open · ⏱️ 26.04.2021): ``` git clone https://github.com/PAIR-code/saliency ``` - [PyPi](https://pypi.org/project/saliency) (📥 490 / month · 📦 2 · ⏱️ 14.04.2021): ``` pip install saliency ```
TensorNets (🥉19 · ⭐ 980) - High level network definitions with pre-trained weights in.. MIT - [GitHub](https://github.com/taehoonlee/tensornets) (👨‍💻 6 · 🔀 190 · 📦 33 · 📋 56 - 25% open · ⏱️ 02.01.2021): ``` git clone https://github.com/taehoonlee/tensornets ``` - [PyPi](https://pypi.org/project/tensornets) (📥 230 / month · 📦 4 · ⏱️ 31.03.2020): ``` pip install tensornets ```
tffm (🥉19 · ⭐ 770 · 💤) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT - [GitHub](https://github.com/geffy/tffm) (👨‍💻 10 · 🔀 180 · 📦 11 · 📋 37 - 45% open · ⏱️ 22.05.2020): ``` git clone https://github.com/geffy/tffm ``` - [PyPi](https://pypi.org/project/tffm) (📥 2.3K / month · 📦 1 · ⏱️ 27.01.2018): ``` pip install tffm ```
TF Compression (🥉18 · ⭐ 480) - Data compression in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/compression) (👨‍💻 10 · 🔀 170 · ⏱️ 23.04.2021): ``` git clone https://github.com/tensorflow/compression ``` - [PyPi](https://pypi.org/project/tensorflow-compression) (📥 980 / month · 📦 1 · ⏱️ 11.03.2021): ``` pip install tensorflow-compression ```

## Sklearn Utilities Back to top _Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (🥇31 · ⭐ 5.2K) - A Python Package to Tackle the Curse of Imbalanced.. MIT - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 56 · 🔀 1.1K · 📦 5.1K · 📋 460 - 7% open · ⏱️ 25.04.2021): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` - [PyPi](https://pypi.org/project/imbalanced-learn) (📥 1.4M / month · 📦 280 · ⏱️ 18.02.2021): ``` pip install imbalanced-learn ``` - [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 120K · ⏱️ 18.02.2021): ``` conda install -c conda-forge imbalanced-learn ```
MLxtend (🥇30 · ⭐ 3.5K) - A library of extension and helper modules for Python's data.. BSD-3 - [GitHub](https://github.com/rasbt/mlxtend) (👨‍💻 83 · 🔀 700 · 📦 3K · 📋 380 - 25% open · ⏱️ 26.04.2021): ``` git clone https://github.com/rasbt/mlxtend ``` - [PyPi](https://pypi.org/project/mlxtend) (📥 320K / month · 📦 190 · ⏱️ 26.11.2020): ``` pip install mlxtend ``` - [Conda](https://anaconda.org/conda-forge/mlxtend) (📥 160K · ⏱️ 26.11.2020): ``` conda install -c conda-forge mlxtend ```
fancyimpute (🥈26 · ⭐ 960) - Multivariate imputation and matrix completion algorithms.. Apache-2 - [GitHub](https://github.com/iskandr/fancyimpute) (👨‍💻 11 · 🔀 150 · 📦 910 · 📋 110 - 2% open · ⏱️ 25.01.2021): ``` git clone https://github.com/iskandr/fancyimpute ``` - [PyPi](https://pypi.org/project/fancyimpute) (📥 16K / month · 📦 42 · ⏱️ 16.07.2020): ``` pip install fancyimpute ```
category_encoders (🥈25 · ⭐ 1.6K · 💤) - A library of sklearn compatible categorical variable.. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 37 · 🔀 300 · 📋 210 - 34% open · ⏱️ 31.07.2020): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` - [PyPi](https://pypi.org/project/category_encoders) (📥 340K / month · 📦 23 · ⏱️ 14.10.2018): ``` pip install category_encoders ``` - [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 100K · ⏱️ 29.04.2020): ``` conda install -c conda-forge category_encoders ```
sklearn-contrib-lightning (🥈24 · ⭐ 1.4K) - Large-scale linear classification, regression and.. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/lightning) (👨‍💻 17 · 🔀 190 · 📦 82 · 📋 83 - 56% open · ⏱️ 14.03.2021): ``` git clone https://github.com/scikit-learn-contrib/lightning ``` - [PyPi](https://pypi.org/project/sklearn-contrib-lightning) (📥 500 / month · 📦 10 · ⏱️ 16.12.2020): ``` pip install sklearn-contrib-lightning ``` - [Conda](https://anaconda.org/conda-forge/sklearn-contrib-lightning) (📥 140K · ⏱️ 20.12.2020): ``` conda install -c conda-forge sklearn-contrib-lightning ```
scikit-opt (🥈23 · ⭐ 2.2K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (👨‍💻 10 · 🔀 500 · 📦 30 · 📋 98 - 23% open · ⏱️ 03.04.2021): ``` git clone https://github.com/guofei9987/scikit-opt ``` - [PyPi](https://pypi.org/project/scikit-opt) (📥 1.7K / month · 📦 3 · ⏱️ 27.03.2021): ``` pip install scikit-opt ```
combo (🥈23 · ⭐ 490) - (AAAI' 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - [GitHub](https://github.com/yzhao062/combo) (👨‍💻 1 · 🔀 84 · 📦 320 · 📋 12 - 75% open · ⏱️ 15.03.2021): ``` git clone https://github.com/yzhao062/combo ``` - [PyPi](https://pypi.org/project/combo) (📥 28K / month · ⏱️ 23.12.2020): ``` pip install combo ```
DESlib (🥉21 · ⭐ 330) - A Python library for dynamic classifier and ensemble selection. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/DESlib) (👨‍💻 13 · 🔀 73 · 📦 17 · 📋 140 - 9% open · ⏱️ 09.04.2021): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` - [PyPi](https://pypi.org/project/deslib) (📥 1.3K / month · ⏱️ 08.02.2021): ``` pip install deslib ```
scikit-lego (🥉20 · ⭐ 490) - Extra blocks for scikit-learn pipelines. MIT - [GitHub](https://github.com/koaning/scikit-lego) (👨‍💻 45 · 🔀 71 · 📦 21 · 📋 220 - 11% open · ⏱️ 21.04.2021): ``` git clone https://github.com/koaning/scikit-lego ``` - [PyPi](https://pypi.org/project/scikit-lego) (📥 3.1K / month · ⏱️ 02.04.2021): ``` pip install scikit-lego ``` - [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 10K · ⏱️ 02.11.2020): ``` conda install -c conda-forge scikit-lego ```
iterative-stratification (🥉19 · ⭐ 550 · 💤) - scikit-learn cross validators for iterative.. BSD-3 - [GitHub](https://github.com/trent-b/iterative-stratification) (👨‍💻 4 · 🔀 49 · 📦 130 · 📋 13 - 15% open · ⏱️ 12.09.2020): ``` git clone https://github.com/trent-b/iterative-stratification ``` - [PyPi](https://pypi.org/project/iterative-stratification) (📥 7.2K / month · 📦 14 · ⏱️ 12.08.2018): ``` pip install iterative-stratification ```
scikit-tda (🥉18 · ⭐ 280) - Topological Data Analysis for Python. MIT - [GitHub](https://github.com/scikit-tda/scikit-tda) (👨‍💻 2 · 🔀 32 · 📦 20 · 📋 15 - 73% open · ⏱️ 09.01.2021): ``` git clone https://github.com/scikit-tda/scikit-tda ``` - [PyPi](https://pypi.org/project/scikit-tda) (📥 4.2K / month · ⏱️ 09.01.2021): ``` pip install scikit-tda ```
skggm (🥉16 · ⭐ 180) - Scikit-learn compatible estimation of general graphical models. MIT - [GitHub](https://github.com/skggm/skggm) (👨‍💻 5 · 🔀 31 · 📦 6 · 📋 75 - 37% open · ⏱️ 24.12.2020): ``` git clone https://github.com/skggm/skggm ``` - [PyPi](https://pypi.org/project/skggm) (📥 140 / month · 📦 2 · ⏱️ 12.09.2018): ``` pip install skggm ```
Show 5 hidden projects... - sklearn-crfsuite (🥈24 · ⭐ 370 · 💀) - scikit-learn inspired API for CRFsuite. MIT - scikit-multilearn (🥈23 · ⭐ 660 · 💀) - A scikit-learn based module for multi-label et. al... BSD-2 - skope-rules (🥉21 · ⭐ 370) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (🥉17 · ⭐ 110) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - dabl (🥉17 · ⭐ 72 · 💤) - Data Analysis Baseline Library. BSD-3

## Pytorch Utilities Back to top _Libraries that extend Pytorch with additional capabilities._
pretrainedmodels (🥇27 · ⭐ 7.9K · 💤) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - [GitHub](https://github.com/Cadene/pretrained-models.pytorch) (👨‍💻 22 · 🔀 1.7K · 📦 990 · 📋 180 - 50% open · ⏱️ 16.04.2020): ``` git clone https://github.com/Cadene/pretrained-models.pytorch ``` - [PyPi](https://pypi.org/project/pretrainedmodels) (📥 58K / month · 📦 100 · ⏱️ 29.10.2018): ``` pip install pretrainedmodels ```
EfficientNet-PyTorch (🥇27 · ⭐ 5.9K) - A PyTorch implementation of EfficientNet and.. Apache-2 - [GitHub](https://github.com/lukemelas/EfficientNet-PyTorch) (👨‍💻 24 · 🔀 1.1K · 📥 470K · 📋 240 - 45% open · ⏱️ 15.04.2021): ``` git clone https://github.com/lukemelas/EfficientNet-PyTorch ``` - [PyPi](https://pypi.org/project/efficientnet-pytorch) (📥 73K / month · 📦 14 · ⏱️ 15.04.2021): ``` pip install efficientnet-pytorch ```
pytorch-summary (🥇26 · ⭐ 3.1K · 💤) - Model summary in PyTorch similar to `model.summary()`.. MIT - [GitHub](https://github.com/sksq96/pytorch-summary) (👨‍💻 11 · 🔀 360 · 📦 2.4K · 📋 150 - 76% open · ⏱️ 07.08.2020): ``` git clone https://github.com/sksq96/pytorch-summary ``` - [PyPi](https://pypi.org/project/torchsummary) (📥 70K / month · 📦 120 · ⏱️ 26.09.2018): ``` pip install torchsummary ```
PML (🥈25 · ⭐ 3.1K) - The easiest way to use deep metric learning in your application. Modular,.. MIT - [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 15 · 🔀 400 · 📦 74 · 📋 250 - 17% open · ⏱️ 03.04.2021): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` - [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 16K / month · ⏱️ 21.04.2021): ``` pip install pytorch-metric-learning ``` - [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 2K · ⏱️ 03.04.2021): ``` conda install -c metric-learning pytorch-metric-learning ```
pytorch-optimizer (🥈25 · ⭐ 1.8K) - torch-optimizer -- collection of optimizers for.. Apache-2 - [GitHub](https://github.com/jettify/pytorch-optimizer) (👨‍💻 19 · 🔀 170 · 📦 190 · 📋 35 - 28% open · ⏱️ 29.04.2021): ``` git clone https://github.com/jettify/pytorch-optimizer ``` - [PyPi](https://pypi.org/project/torch_optimizer) (📥 29K / month · ⏱️ 01.01.2021): ``` pip install torch_optimizer ```
torchdiffeq (🥈24 · ⭐ 3.5K) - Differentiable ODE solvers with full GPU support and.. MIT - [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 19 · 🔀 590 · 📦 91 · 📋 130 - 17% open · ⏱️ 23.03.2021): ``` git clone https://github.com/rtqichen/torchdiffeq ``` - [PyPi](https://pypi.org/project/torchdiffeq) (📥 3.5K / month · ⏱️ 06.02.2021): ``` pip install torchdiffeq ```
SRU (🥈24 · ⭐ 1.9K) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - [GitHub](https://github.com/asappresearch/sru) (👨‍💻 21 · 🔀 290 · 📦 15 · 📋 110 - 42% open · ⏱️ 19.03.2021): ``` git clone https://github.com/asappresearch/sru ``` - [PyPi](https://pypi.org/project/sru) (📥 2.8K / month · 📦 2 · ⏱️ 18.03.2021): ``` pip install sru ```
EfficientNets (🥈22 · ⭐ 1.3K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (👨‍💻 5 · 🔀 180 · 📦 48 · ⏱️ 30.11.2020): ``` git clone https://github.com/rwightman/gen-efficientnet-pytorch ``` - [PyPi](https://pypi.org/project/geffnet) (📥 6K / month · ⏱️ 20.08.2020): ``` pip install geffnet ```
Torchmeta (🥈22 · ⭐ 1.3K) - A collection of extensions and data-loaders for few-shot learning.. MIT - [GitHub](https://github.com/tristandeleu/pytorch-meta) (👨‍💻 10 · 🔀 150 · 📦 36 · 📋 100 - 25% open · ⏱️ 19.03.2021): ``` git clone https://github.com/tristandeleu/pytorch-meta ``` - [PyPi](https://pypi.org/project/torchmeta) (📥 1.1K / month · ⏱️ 19.03.2021): ``` pip install torchmeta ```
Higher (🥈22 · ⭐ 1.1K) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - [GitHub](https://github.com/facebookresearch/higher) (👨‍💻 8 · 🔀 79 · 📦 49 · 📋 80 - 40% open · ⏱️ 02.03.2021): ``` git clone https://github.com/facebookresearch/higher ``` - [PyPi](https://pypi.org/project/higher) (📥 23K / month · ⏱️ 14.07.2020): ``` pip install higher ```
torch-scatter (🥈22 · ⭐ 650) - PyTorch Extension Library of Optimized Scatter Operations. MIT - [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 15 · 🔀 76 · 📋 190 - 35% open · ⏱️ 25.03.2021): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` - [PyPi](https://pypi.org/project/torch-scatter) (📥 22K / month · 📦 32 · ⏱️ 03.03.2021): ``` pip install torch-scatter ```
PyTorch Sparse (🥈22 · ⭐ 400) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT - [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨‍💻 15 · 🔀 52 · 📋 110 - 43% open · ⏱️ 25.04.2021): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` - [PyPi](https://pypi.org/project/torch-sparse) (📥 14K / month · 📦 34 · ⏱️ 02.11.2020): ``` pip install torch-sparse ```
reformer-pytorch (🥉21 · ⭐ 1.5K) - Reformer, the efficient Transformer, in Pytorch. MIT - [GitHub](https://github.com/lucidrains/reformer-pytorch) (👨‍💻 10 · 🔀 190 · 📋 110 - 7% open · ⏱️ 21.04.2021): ``` git clone https://github.com/lucidrains/reformer-pytorch ``` - [PyPi](https://pypi.org/project/reformer-pytorch) (📥 2.3K / month · ⏱️ 21.04.2021): ``` pip install reformer-pytorch ```
TabNet (🥉21 · ⭐ 980) - PyTorch implementation of TabNet paper :.. MIT - [GitHub](https://github.com/dreamquark-ai/tabnet) (👨‍💻 18 · 🔀 190 · 📋 140 - 24% open · ⏱️ 01.03.2021): ``` git clone https://github.com/dreamquark-ai/tabnet ``` - [PyPi](https://pypi.org/project/pytorch-tabnet) (📥 11K / month · ⏱️ 02.02.2021): ``` pip install pytorch-tabnet ```
Pytorch Toolbelt (🥉20 · ⭐ 990) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT - [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨‍💻 5 · 🔀 75 · 📋 18 - 11% open · ⏱️ 17.04.2021): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` - [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 12K / month · 📦 2 · ⏱️ 02.04.2021): ``` pip install pytorch_toolbelt ```
Lambda Networks (🥉19 · ⭐ 1.4K · 🐣) - Implementation of LambdaNetworks, a new approach to.. MIT - [GitHub](https://github.com/lucidrains/lambda-networks) (👨‍💻 3 · 🔀 150 · 📦 3 · 📋 27 - 44% open · ⏱️ 18.11.2020): ``` git clone https://github.com/lucidrains/lambda-networks ``` - [PyPi](https://pypi.org/project/lambda-networks) (📥 2.4K / month · ⏱️ 18.11.2020): ``` pip install lambda-networks ```
Performer Pytorch (🥉19 · ⭐ 590 · 🐣) - An implementation of Performer, a linear attention-.. MIT - [GitHub](https://github.com/lucidrains/performer-pytorch) (👨‍💻 4 · 🔀 74 · 📦 17 · 📋 58 - 34% open · ⏱️ 21.04.2021): ``` git clone https://github.com/lucidrains/performer-pytorch ``` - [PyPi](https://pypi.org/project/performer-pytorch) (📥 3.1K / month · ⏱️ 21.04.2021): ``` pip install performer-pytorch ```
Tensor Sensor (🥉17 · ⭐ 550) - The goal of this library is to generate more helpful.. MIT - [GitHub](https://github.com/parrt/tensor-sensor) (👨‍💻 2 · 🔀 26 · 📦 2 · 📋 17 - 29% open · ⏱️ 27.04.2021): ``` git clone https://github.com/parrt/tensor-sensor ``` - [PyPi](https://pypi.org/project/tensor-sensor) (📥 360 / month · ⏱️ 03.12.2020): ``` pip install tensor-sensor ```
Pywick (🥉17 · ⭐ 320) - High-level batteries-included neural network training library for.. MIT - [GitHub](https://github.com/achaiah/pywick) (👨‍💻 4 · 🔀 35 · 📦 3 · 📋 12 - 25% open · ⏱️ 01.03.2021): ``` git clone https://github.com/achaiah/pywick ``` - [PyPi](https://pypi.org/project/pywick) (📥 320 / month · ⏱️ 20.01.2020): ``` pip install pywick ```
tinygrad (🥉16 · ⭐ 4.3K · 🐣) - You like pytorch? You like micrograd? You love tinygrad!. MIT - [GitHub](https://github.com/geohot/tinygrad) (👨‍💻 43 · 🔀 470 · 📦 1 · 📋 80 - 21% open · ⏱️ 26.04.2021): ``` git clone https://github.com/geohot/tinygrad ```
torchsde (🥉16 · ⭐ 700) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 - [GitHub](https://github.com/google-research/torchsde) (👨‍💻 4 · 🔀 63 · 📋 36 - 13% open · ⏱️ 10.04.2021): ``` git clone https://github.com/google-research/torchsde ```
Torch-Struct (🥉15 · ⭐ 930) - Fast, general, and tested differentiable structured prediction.. MIT - [GitHub](https://github.com/harvardnlp/pytorch-struct) (👨‍💻 13 · 🔀 71 · 📋 42 - 42% open · ⏱️ 14.02.2021): ``` git clone https://github.com/harvardnlp/pytorch-struct ```
Tez (🥉15 · ⭐ 600 · 🐣) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - [GitHub](https://github.com/abhi1thakur/tez) (👨‍💻 2 · 🔀 78 · 📦 6 · 📋 19 - 63% open · ⏱️ 06.03.2021): ``` git clone https://github.com/abhishekkrthakur/tez ``` - [PyPi](https://pypi.org/project/tez) (📥 700 / month · ⏱️ 29.01.2021): ``` pip install tez ```
micrograd (🥉13 · ⭐ 1.6K · 💤) - A tiny scalar-valued autograd engine and a neural net library.. MIT - [GitHub](https://github.com/karpathy/micrograd) (👨‍💻 2 · 🔀 120 · 📦 1 · 📋 5 - 40% open · ⏱️ 18.04.2020): ``` git clone https://github.com/karpathy/micrograd ``` - [PyPi](https://pypi.org/project/micrograd) (📥 29 / month · ⏱️ 18.04.2020): ``` pip install micrograd ```
Show 3 hidden projects... - Poutyne (🥉20 · ⭐ 470) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - AdaBound (🥉19 · ⭐ 2.8K · 💀) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - Antialiased CNNs (🥉18 · ⭐ 1.4K) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0

## Database Clients Back to top _Libraries for connecting to, operating, and querying databases._ 🔗 best-of-python - DB Clients ( ⭐ 1.6K · 🐣) - Collection of database clients for python.
## Others Back to top
scipy (🥇42 · ⭐ 8.2K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 - [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.2K · 🔀 3.7K · 📥 310K · 📦 330K · 📋 7.5K - 21% open · ⏱️ 29.04.2021): ``` git clone https://github.com/scipy/scipy ``` - [PyPi](https://pypi.org/project/scipy) (📥 29M / month · 📦 87K · ⏱️ 26.04.2021): ``` pip install scipy ``` - [Conda](https://anaconda.org/conda-forge/scipy) (📥 14M · ⏱️ 27.04.2021): ``` conda install -c conda-forge scipy ```
SymPy (🥇35 · ⭐ 8K) - A computer algebra system written in pure Python. BSD-3 - [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.1K · 🔀 3.4K · 📥 420K · 📦 31K · 📋 11K - 36% open · ⏱️ 29.04.2021): ``` git clone https://github.com/sympy/sympy ``` - [PyPi](https://pypi.org/project/sympy) (📥 1M / month · 📦 6.4K · ⏱️ 09.04.2021): ``` pip install sympy ``` - [Conda](https://anaconda.org/conda-forge/sympy) (📥 1.4M · ⏱️ 10.04.2021): ``` conda install -c conda-forge sympy ```
Autograd (🥇30 · ⭐ 5.2K) - Efficiently computes derivatives of numpy code. MIT - [GitHub](https://github.com/HIPS/autograd) (👨‍💻 51 · 🔀 720 · 📦 1.8K · 📋 380 - 42% open · ⏱️ 03.03.2021): ``` git clone https://github.com/HIPS/autograd ``` - [PyPi](https://pypi.org/project/autograd) (📥 1.2M / month · 📦 340 · ⏱️ 25.07.2019): ``` pip install autograd ``` - [Conda](https://anaconda.org/conda-forge/autograd) (📥 170K · ⏱️ 25.07.2019): ``` conda install -c conda-forge autograd ```
hdbscan (🥇29 · ⭐ 1.9K) - A high performance implementation of HDBSCAN clustering. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 69 · 🔀 340 · 📦 820 · 📋 370 - 60% open · ⏱️ 07.04.2021): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` - [PyPi](https://pypi.org/project/hdbscan) (📥 210K / month · 📦 120 · ⏱️ 03.02.2021): ``` pip install hdbscan ``` - [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 650K · ⏱️ 14.02.2021): ``` conda install -c conda-forge hdbscan ```
Keras-Preprocessing (🥇29 · ⭐ 940) - Utilities for working with image data, text data, and.. MIT - [GitHub](https://github.com/keras-team/keras-preprocessing) (👨‍💻 50 · 🔀 420 · 📋 190 - 48% open · ⏱️ 04.02.2021): ``` git clone https://github.com/keras-team/keras-preprocessing ``` - [PyPi](https://pypi.org/project/keras-preprocessing) (📥 5.8M / month · 📦 2.7K · ⏱️ 14.05.2020): ``` pip install keras-preprocessing ``` - [Conda](https://anaconda.org/conda-forge/keras-preprocessing) (📥 910K · ⏱️ 15.01.2021): ``` conda install -c conda-forge keras-preprocessing ```
PyOD (🥇28 · ⭐ 4.4K) - (JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly.. BSD-2 - [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 23 · 🔀 900 · 📦 590 · 📋 200 - 56% open · ⏱️ 27.04.2021): ``` git clone https://github.com/yzhao062/pyod ``` - [PyPi](https://pypi.org/project/pyod) (📥 150K / month · 📦 6 · ⏱️ 27.04.2021): ``` pip install pyod ```
Cython BLIS (🥇28 · ⭐ 170) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - [GitHub](https://github.com/explosion/cython-blis) (👨‍💻 9 · 🔀 25 · 📦 9.9K · 📋 22 - 27% open · ⏱️ 15.03.2021): ``` git clone https://github.com/explosion/cython-blis ``` - [PyPi](https://pypi.org/project/blis) (📥 1.8M / month · 📦 390 · ⏱️ 07.12.2020): ``` pip install blis ``` - [Conda](https://anaconda.org/conda-forge/cython-blis) (📥 670K · ⏱️ 31.01.2021): ``` conda install -c conda-forge cython-blis ```
Streamlit (🥈27 · ⭐ 14K) - Streamlit The fastest way to build data apps in Python. Apache-2 - [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 100 · 🔀 1.2K · 📦 75 · 📋 1.7K - 29% open · ⏱️ 28.04.2021): ``` git clone https://github.com/streamlit/streamlit ``` - [PyPi](https://pypi.org/project/streamlit) (📥 250K / month · 📦 34 · ⏱️ 08.04.2021): ``` pip install streamlit ```
Datasette (🥈27 · ⭐ 5K) - An open source multi-tool for exploring and publishing data. Apache-2 - [GitHub](https://github.com/simonw/datasette) (👨‍💻 49 · 🔀 280 · 📥 29 · 📦 410 · 📋 1K - 24% open · ⏱️ 24.04.2021): ``` git clone https://github.com/simonw/datasette ``` - [PyPi](https://pypi.org/project/datasette) (📥 19K / month · 📦 70 · ⏱️ 29.03.2021): ``` pip install datasette ```
agate (🥈27 · ⭐ 1K) - A Python data analysis library that is optimized for humans instead of machines. MIT - [GitHub](https://github.com/wireservice/agate) (👨‍💻 47 · 🔀 130 · 📦 550 · 📋 640 - 8% open · ⏱️ 10.03.2021): ``` git clone https://github.com/wireservice/agate ``` - [PyPi](https://pypi.org/project/agate) (📥 490K / month · 📦 240 · ⏱️ 11.03.2018): ``` pip install agate ``` - [Conda](https://anaconda.org/conda-forge/agate) (📥 63K · ⏱️ 19.08.2018): ``` conda install -c conda-forge agate ```
carla (🥈26 · ⭐ 5.9K) - Open-source simulator for autonomous driving research. MIT - [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 120 · 🔀 1.7K · 📦 64 · 📋 3.2K - 10% open · ⏱️ 21.04.2021): ``` git clone https://github.com/carla-simulator/carla ``` - [PyPi](https://pypi.org/project/carla) (📥 930 / month · 📦 4 · ⏱️ 28.04.2019): ``` pip install carla ```
DeepChem (🥈26 · ⭐ 2.9K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT - [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 160 · 🔀 970 · 📦 38 · 📋 1.2K - 29% open · ⏱️ 21.04.2021): ``` git clone https://github.com/deepchem/deepchem ``` - [PyPi](https://pypi.org/project/deepchem) (📥 5.3K / month · 📦 4 · ⏱️ 21.04.2021): ``` pip install deepchem ```
Pythran (🥈26 · ⭐ 1.5K) - Ahead of Time compiler for numeric kernels. BSD-3 - [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 54 · 🔀 140 · 📦 52 · 📋 670 - 15% open · ⏱️ 27.04.2021): ``` git clone https://github.com/serge-sans-paille/pythran ``` - [PyPi](https://pypi.org/project/pythran) (📥 11K / month · 📦 26 · ⏱️ 31.03.2021): ``` pip install pythran ``` - [Conda](https://anaconda.org/conda-forge/pythran) (📥 150K · ⏱️ 01.04.2021): ``` conda install -c conda-forge pythran ```
kmodes (🥈26 · ⭐ 840) - Python implementations of the k-modes and k-prototypes clustering.. MIT - [GitHub](https://github.com/nicodv/kmodes) (👨‍💻 17 · 🔀 340 · 📦 520 · 📋 130 - 13% open · ⏱️ 07.03.2021): ``` git clone https://github.com/nicodv/kmodes ``` - [PyPi](https://pypi.org/project/kmodes) (📥 110K / month · 📦 26 · ⏱️ 13.02.2021): ``` pip install kmodes ```
pyclustering (🥈26 · ⭐ 820) - pyclustring is a Python, C++ data mining library. BSD-3 - [GitHub](https://github.com/annoviko/pyclustering) (👨‍💻 26 · 🔀 190 · 📥 320 · 📦 190 · 📋 630 - 7% open · ⏱️ 12.02.2021): ``` git clone https://github.com/annoviko/pyclustering ``` - [PyPi](https://pypi.org/project/pyclustering) (📥 37K / month · 📦 36 · ⏱️ 25.11.2020): ``` pip install pyclustering ``` - [Conda](https://anaconda.org/conda-forge/pyclustering) (📥 20K · ⏱️ 25.01.2021): ``` conda install -c conda-forge pyclustering ```
Trax (🥈25 · ⭐ 6.1K) - Trax Deep Learning with Clear Code and Speed. Apache-2 - [GitHub](https://github.com/google/trax) (👨‍💻 68 · 🔀 590 · 📦 26 · 📋 200 - 45% open · ⏱️ 28.04.2021): ``` git clone https://github.com/google/trax ``` - [PyPi](https://pypi.org/project/trax) (📥 4.8K / month · ⏱️ 26.04.2021): ``` pip install trax ```
causalml (🥈25 · ⭐ 1.9K) - Uplift modeling and causal inference with machine learning.. Apache-2 - [GitHub](https://github.com/uber/causalml) (👨‍💻 25 · 🔀 280 · 📦 18 · 📋 170 - 18% open · ⏱️ 26.04.2021): ``` git clone https://github.com/uber/causalml ``` - [PyPi](https://pypi.org/project/causalml) (📥 20K / month · ⏱️ 19.02.2021): ``` pip install causalml ```
TabPy (🥈25 · ⭐ 1.1K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT - [GitHub](https://github.com/tableau/TabPy) (👨‍💻 40 · 🔀 390 · 📦 57 · 📋 280 - 3% open · ⏱️ 04.02.2021): ``` git clone https://github.com/tableau/TabPy ``` - [PyPi](https://pypi.org/project/tabpy) (📥 33K / month · ⏱️ 11.11.2020): ``` pip install tabpy ```
pyjanitor (🥈25 · ⭐ 660) - Clean APIs for data cleaning. Python implementation of R package Janitor. MIT - [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨‍💻 88 · 🔀 120 · 📦 94 · 📋 380 - 25% open · ⏱️ 20.04.2021): ``` git clone https://github.com/ericmjl/pyjanitor ``` - [PyPi](https://pypi.org/project/pyjanitor) (📥 6.7K / month · 📦 4 · ⏱️ 25.02.2021): ``` pip install pyjanitor ``` - [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 87K · ⏱️ 25.03.2021): ``` conda install -c conda-forge pyjanitor ```
datalad (🥈25 · ⭐ 240) - Keep code, data, containers under control with git and git-annex. MIT - [GitHub](https://github.com/datalad/datalad) (👨‍💻 38 · 🔀 73 · 📋 3K - 22% open · ⏱️ 29.04.2021): ``` git clone https://github.com/datalad/datalad ``` - [PyPi](https://pypi.org/project/datalad) (📥 5.6K / month · 📦 26 · ⏱️ 28.04.2021): ``` pip install datalad ``` - [Conda](https://anaconda.org/conda-forge/datalad) (📥 110K · ⏱️ 29.04.2021): ``` conda install -c conda-forge datalad ```
Gradio (🥉24 · ⭐ 2.4K) - Wrap UIs around any model, share with anyone. Apache-2 - [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 16 · 🔀 150 · 📦 110 · 📋 99 - 9% open · ⏱️ 26.04.2021): ``` git clone https://github.com/gradio-app/gradio ``` - [PyPi](https://pypi.org/project/gradio) (📥 5K / month · 📦 2 · ⏱️ 26.04.2021): ``` pip install gradio ```
modAL (🥉24 · ⭐ 1.2K) - A modular active learning framework for Python. MIT - [GitHub](https://github.com/modAL-python/modAL) (👨‍💻 14 · 🔀 190 · 📥 11 · 📦 66 · 📋 100 - 50% open · ⏱️ 07.01.2021): ``` git clone https://github.com/modAL-python/modAL ``` - [PyPi](https://pypi.org/project/modAL) (📥 2.9K / month · 📦 8 · ⏱️ 07.01.2021): ``` pip install modAL ```
PennyLane (🥉24 · ⭐ 840) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 - [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 45 · 🔀 240 · 📥 56 · 📋 370 - 26% open · ⏱️ 29.04.2021): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` - [PyPi](https://pypi.org/project/pennylane) (📥 4.6K / month · 📦 20 · ⏱️ 20.04.2021): ``` pip install pennylane ```
pyopencl (🥉24 · ⭐ 800) - OpenCL integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pyopencl) (👨‍💻 86 · 🔀 220 · 📦 510 · 📋 270 - 21% open · ⏱️ 23.04.2021): ``` git clone https://github.com/inducer/pyopencl ``` - [PyPi](https://pypi.org/project/pyopencl) (📥 21K / month · 📦 240 · ⏱️ 05.04.2021): ``` pip install pyopencl ``` - [Conda](https://anaconda.org/conda-forge/pyopencl) (📥 390K · ⏱️ 05.04.2021): ``` conda install -c conda-forge pyopencl ```
PySwarms (🥉24 · ⭐ 770) - A research toolkit for particle swarm optimization in Python. MIT - [GitHub](https://github.com/ljvmiranda921/pyswarms) (👨‍💻 43 · 🔀 240 · 📦 100 · 📋 180 - 12% open · ⏱️ 02.04.2021): ``` git clone https://github.com/ljvmiranda921/pyswarms ``` - [PyPi](https://pypi.org/project/pyswarms) (📥 6.1K / month · ⏱️ 03.01.2021): ``` pip install pyswarms ```
findspark (🥉24 · ⭐ 400 · 💤) - Find pyspark to make it importable. BSD-3 - [GitHub](https://github.com/minrk/findspark) (👨‍💻 14 · 🔀 68 · 📦 1.7K · 📋 19 - 57% open · ⏱️ 08.06.2020): ``` git clone https://github.com/minrk/findspark ``` - [PyPi](https://pypi.org/project/findspark) (📥 1.1M / month · 📦 200 · ⏱️ 08.06.2020): ``` pip install findspark ``` - [Conda](https://anaconda.org/conda-forge/findspark) (📥 540K · ⏱️ 06.07.2018): ``` conda install -c conda-forge findspark ```
PaddleHub (🥉23 · ⭐ 5K) - Awesome pre-trained models toolkit based on PaddlePaddle.(300+.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleHub) (👨‍💻 37 · 🔀 1.1K · 📥 500 · 📦 180 · 📋 780 - 28% open · ⏱️ 27.04.2021): ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` - [PyPi](https://pypi.org/project/paddlehub) (📥 3K / month · ⏱️ 27.04.2021): ``` pip install paddlehub ```
metric-learn (🥉23 · ⭐ 1.1K) - Metric learning algorithms in Python. MIT - [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (👨‍💻 19 · 🔀 220 · 📦 130 · 📋 160 - 32% open · ⏱️ 26.04.2021): ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` - [PyPi](https://pypi.org/project/metric-learn) (📥 7.9K / month · 📦 18 · ⏱️ 02.07.2020): ``` pip install metric-learn ```
tensorly (🥉23 · ⭐ 1K) - TensorLy: Tensor Learning in Python. BSD-2 - [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 43 · 🔀 200 · 📦 140 · 📋 140 - 24% open · ⏱️ 28.04.2021): ``` git clone https://github.com/tensorly/tensorly ``` - [PyPi](https://pypi.org/project/tensorly) (📥 8.7K / month · 📦 20 · ⏱️ 14.04.2021): ``` pip install tensorly ``` - [Conda](https://anaconda.org/conda-forge/tensorly) (📥 130K · ⏱️ 07.12.2020): ``` conda install -c conda-forge tensorly ```
Mars (🥉22 · ⭐ 2.1K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 - [GitHub](https://github.com/mars-project/mars) (👨‍💻 19 · 🔀 250 · 📦 5 · 📋 800 - 15% open · ⏱️ 28.04.2021): ``` git clone https://github.com/mars-project/mars ``` - [PyPi](https://pypi.org/project/pymars) (📥 5.9K / month · ⏱️ 11.04.2021): ``` pip install pymars ```
pycm (🥉22 · ⭐ 1.1K) - Multi-class confusion matrix library in Python. MIT - [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 14 · 🔀 93 · 📦 97 · 📋 170 - 7% open · ⏱️ 11.03.2021): ``` git clone https://github.com/sepandhaghighi/pycm ``` - [PyPi](https://pypi.org/project/pycm) (📥 6K / month · 📦 10 · ⏱️ 11.03.2021): ``` pip install pycm ```
scikit-rebate (🥉22 · ⭐ 320) - A scikit-learn-compatible Python implementation of ReBATE, a.. MIT - [GitHub](https://github.com/EpistasisLab/scikit-rebate) (👨‍💻 13 · 🔀 58 · 📦 130 · 📋 31 - 41% open · ⏱️ 15.02.2021): ``` git clone https://github.com/EpistasisLab/scikit-rebate ``` - [PyPi](https://pypi.org/project/skrebate) (📥 2.1K / month · 📦 62 · ⏱️ 20.03.2021): ``` pip install skrebate ```
alibi-detect (🥉21 · ⭐ 660) - Algorithms for outlier and adversarial instance detection,.. Apache-2 - [GitHub](https://github.com/SeldonIO/alibi-detect) (👨‍💻 8 · 🔀 67 · 📦 22 · 📋 120 - 47% open · ⏱️ 26.04.2021): ``` git clone https://github.com/SeldonIO/alibi-detect ``` - [PyPi](https://pypi.org/project/alibi-detect) (📥 6.7K / month · 📦 1 · ⏱️ 26.04.2021): ``` pip install alibi-detect ```
Prince (🥉21 · ⭐ 630) - Python factor analysis library (PCA, CA, MCA, MFA, FAMD). MIT - [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 9 · 🔀 120 · 📦 110 · 📋 93 - 31% open · ⏱️ 11.01.2021): ``` git clone https://github.com/MaxHalford/prince ``` - [PyPi](https://pypi.org/project/prince) (📥 8K / month · 📦 6 · ⏱️ 06.10.2020): ``` pip install prince ```
SUOD (🥉21 · ⭐ 260) - (MLSys' 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 - [GitHub](https://github.com/yzhao062/SUOD) (👨‍💻 1 · 🔀 30 · 📦 310 · 📋 5 - 60% open · ⏱️ 19.01.2021): ``` git clone https://github.com/yzhao062/SUOD ``` - [PyPi](https://pypi.org/project/suod) (📥 19K / month · ⏱️ 15.01.2021): ``` pip install suod ```
AstroML (🥉20 · ⭐ 740) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 - [GitHub](https://github.com/astroML/astroML) (👨‍💻 30 · 🔀 260 · 📋 130 - 36% open · ⏱️ 07.04.2021): ``` git clone https://github.com/astroML/astroML ``` - [PyPi](https://pypi.org/project/astroML) (📥 1.5K / month · 📦 29 · ⏱️ 23.03.2020): ``` pip install astroML ``` - [Conda](https://anaconda.org/conda-forge/astroml) (📥 23K · ⏱️ 16.02.2020): ``` conda install -c conda-forge astroml ```
baikal (🥉20 · ⭐ 580) - A graph-based functional API for building complex scikit-learn pipelines. BSD-3 - [GitHub](https://github.com/alegonz/baikal) (👨‍💻 2 · 🔀 29 · 📦 3 · 📋 20 - 30% open · ⏱️ 11.04.2021): ``` git clone https://github.com/alegonz/baikal ``` - [PyPi](https://pypi.org/project/baikal) (📥 540 / month · ⏱️ 15.11.2020): ``` pip install baikal ``` - [Conda](https://anaconda.org/conda-forge/cython-blis) (📥 670K · ⏱️ 31.01.2021): ``` conda install -c conda-forge cython-blis ```
Feature Engine (🥉20 · ⭐ 510) - Feature engineering package with sklearn like functionality. BSD-3 - [GitHub](https://github.com/solegalli/feature_engine) (👨‍💻 22 · 🔀 140 · 📋 110 - 24% open · ⏱️ 25.04.2021): ``` git clone https://github.com/solegalli/feature_engine ``` - [PyPi](https://pypi.org/project/feature_engine) (📥 22K / month · 📦 2 · ⏱️ 23.01.2021): ``` pip install feature_engine ``` - [Conda](https://anaconda.org/conda-forge/feature_engine) (📥 2.7K · ⏱️ 25.01.2021): ``` conda install -c conda-forge feature_engine ```
BioPandas (🥉20 · ⭐ 340) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/rasbt/biopandas) (👨‍💻 7 · 🔀 78 · 📦 53 · 📋 36 - 41% open · ⏱️ 07.04.2021): ``` git clone https://github.com/rasbt/biopandas ``` - [PyPi](https://pypi.org/project/biopandas) (📥 970 / month · 📦 6 · ⏱️ 03.03.2021): ``` pip install biopandas ``` - [Conda](https://anaconda.org/conda-forge/biopandas) (📥 73K · ⏱️ 08.08.2020): ``` conda install -c conda-forge biopandas ```
StreamAlert (🥉19 · ⭐ 2.5K) - StreamAlert is a serverless, realtime data analysis framework.. Apache-2 - [GitHub](https://github.com/airbnb/streamalert) (👨‍💻 31 · 🔀 290 · 📋 340 - 26% open · ⏱️ 10.02.2021): ``` git clone https://github.com/airbnb/streamalert ```
apricot (🥉19 · ⭐ 310) - apricot implements submodular optimization for the purpose of selecting.. MIT - [GitHub](https://github.com/jmschrei/apricot) (👨‍💻 2 · 🔀 29 · 📥 8 · 📦 15 · 📋 17 - 17% open · ⏱️ 18.02.2021): ``` git clone https://github.com/jmschrei/apricot ``` - [PyPi](https://pypi.org/project/apricot-select) (📥 1.3K / month · ⏱️ 28.09.2020): ``` pip install apricot-select ```
rrcf (🥉19 · ⭐ 300 · 💤) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT - [GitHub](https://github.com/kLabUM/rrcf) (👨‍💻 4 · 🔀 73 · 📦 19 · 📋 36 - 52% open · ⏱️ 10.06.2020): ``` git clone https://github.com/kLabUM/rrcf ``` - [PyPi](https://pypi.org/project/rrcf) (📥 3.7K / month · ⏱️ 10.06.2020): ``` pip install rrcf ```
River (🥉18 · ⭐ 1.6K) - Online machine learning in Python. BSD-3 - [GitHub](https://github.com/online-ml/river) (👨‍💻 63 · 🔀 200 · 📦 9 · 📋 300 - 10% open · ⏱️ 26.04.2021): ``` git clone https://github.com/online-ml/river ```
traingenerator (🥉10 · ⭐ 980 · 🐣) - A web app to generate template code for machine learning. MIT - [GitHub](https://github.com/jrieke/traingenerator) (👨‍💻 3 · 🔀 130 · 📋 12 - 75% open · ⏱️ 29.04.2021): ``` git clone https://github.com/jrieke/traingenerator ```
Show 8 hidden projects... - pysc2 (🥈25 · ⭐ 7.2K · 💀) - StarCraft II Learning Environment. Apache-2 - minisom (🥉22 · ⭐ 830) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - cleanlab (🥉21 · ⭐ 1.9K) - The standard package for machine learning with noisy labels and.. ❗️GPL-3.0 - mlens (🥉21 · ⭐ 680 · 💀) - ML-Ensemble high performance ensemble learning. MIT - gplearn (🥉20 · ⭐ 930 · 💀) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 - impyute (🥉20 · ⭐ 280 · 💀) - Data imputations library to preprocess datasets with missing data. MIT - vecstack (🥉19 · ⭐ 590 · 💀) - Python package for stacking (machine learning technique). MIT - pandas-ml (🥉19 · ⭐ 270 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3
--- ## Related Resources - [**Papers With Code**](https://paperswithcode.com): Discover ML papers, code, and evaluation tables. - [**Sotabench**](https://sotabench.com): Discover & compare open-source ML models. - [**Google Dataset Search**](https://toolbox.google.com/datasetsearch): Dataset search engine by Google. - [**Dataset List**](https://www.datasetlist.com/): List of the biggest ML datasets from across the web. - [**Awesome Public Datasets**](https://github.com/awesomedata/awesome-public-datasets): A topic-centric list of open datasets. - [**Best-of lists**](https://best-of.org): Discover other best-of lists with awesome open-source projects on all kinds of topics. - [**best-of-python-dev**](https://github.com/ml-tooling/best-of-python-dev): A ranked list of awesome python developer tools and libraries. - [**best-of-web-python**](https://github.com/ml-tooling/best-of-web-python): A ranked list of awesome python libraries for web development. ## Contribution Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways: - Open an issue by selecting one of the provided categories from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information. - Modify the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) with your additions or changes, and submit a pull request. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). If you like to contribute to or share suggestions regarding the project metadata collection or markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. If you like to create your own best-of list, we recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md). For more information on how to add or update projects, please read the [contribution guidelines](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md). By participating in this project, you agree to abide by its [Code of Conduct](https://github.com/ml-tooling/best-of-ml-python/blob/main/.github/CODE_OF_CONDUCT.md). ## License [![CC0](https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/by-sa.svg)](https://creativecommons.org/licenses/by-sa/4.0/)