# odd-platform
**Repository Path**: gjunming/odd-platform
## Basic Information
- **Project Name**: odd-platform
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: 1474
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-05-22
- **Last Updated**: 2025-05-22
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
Next-Gen Data Discovery and Data Observability Platform
Website •
LinkedIn •
Slack •
Documentation •
Blog •
Demo
## Demo
Play with our [demo app](https://demo.oddp.io)!
## Introduction
ODD is an open-source data discovery and observability tool for data teams that helps to efficiently democratise data, power collaboration and reduce time on data discovery through modern user-friendly environment.
### Key wins
* Shorten data discovery phase
* Have transparency on how and by whom the data is used
* Foster data culture by continuous compliance and data quality monitoring
* Accelerate data insights
* Know the sources of your dashboards and ad hoc reports
* Deprecate outdated objects responsibly by assessing and mitigating the risks
* :point_right: ODD Platform is a reference implementation of **[Open Data Discovery Spec](https://github.com/opendatadiscovery/opendatadiscovery-specification)**.
## Features
### Data Discovery and Observability
* Accumulate scattered data insights in Federated Data catalogue
* Gain observability through E2E Data objects Lineage
* Benefit from cutting-edge E2E microservices Lineage feature in tracking your data flow through the whole data landscape
* Be warned and alerted by Pipeline Monitoring tools
* Store your metadata
* Use ODD-native modern lightweight UI
### ML First citizen
* Save results of your ML Experiments by automatically logging its parameters
### Data Security & Compliance
* Manage Tags and Labels to prevent any abuse of the data
* Refer to Tags and Labels to stay compliant with data security standards
* Have full transparency on how and by whom the data is used
### Data Quality
* Simplify DQ processes by using ODD and Great Expectations compatibility
* Integrate ODD with any custom DQ framework
## Getting Started
### Running as a separate container
Setting up PostgreSQL connection details, for example:
```
export POSTGRES_HOST=172.17.0.1 \
export POSTGRES_PORT=5432 \
export POSTGRES_DATABASE=postgres \
export POSTGRES_USER=postgres \
export POSTGRES_PASSWORD=mysecretpassword
```
Starting new instance of the platform:
```
docker run -d \
--name odd-platform \
-e SPRING_DATASOURCE_URL=jdbc:postgresql://${POSTGRES_HOST}:${POSTGRES_PORT}/${POSTGRES_DATABASE} \
-e SPRING_DATASOURCE_USERNAME=${POSTGRES_USER} \
-e SPRING_DATASOURCE_PASSWORD=${POSTGRES_PASSWORD} \
-p 8080:8080 \
ghcr.io/opendatadiscovery/odd-platform:latest
```
Go to [localhost:8080](http://localhost:8080) in case of local environment
### Running Locally with Docker Compose
```
docker-compose -f docker/demo.yaml up -d odd-platform-enricher
```
* :point_right: **[QUICKSTART](./docker/README.md)**
### Deploying to Kubernetes with Helm Charts
* :point_right: **[QUICKSTART](https://github.com/opendatadiscovery/charts/blob/main/QUICKSTART.md)**
### Example configurations
There are various example configurations (via docker-compose) within **[docker/examples directory](https://github.com/opendatadiscovery/odd-platform/tree/main/docker/examples)**.
## Contributing
Contributing to ODD Platform is very welcome. For basic contributions, all you need is being comfortable with GitHub and Git. The best ways to contribute are:
* Work on new adapters
* Work on documentation
To ensure equal and positive communication, we adhere to our [Code of Conduct](./CODE_OF_CONDUCT.md). Before starting any interactions with this repository, please read it and make sure to follow.
Please before contributing check out our [Contributing Guide](./CONTRIBUTING.md) and issues labeled "good first issue":
[](https://github.com/opendatadiscovery/odd-platform/contribute)
## Integrations
OpenDataDiscovery Platform offers comprehensive data source support to meet your needs.
## ODD Data Model
ODD operates the following high-level types of entities:
- Datasets (collections of data: tables, topics, files, feature groups)
- Transformers (transformers of data: ETL or ML training jobs, experiments)
- Data Consumers (data consumers: ML models or BI dashboards)
- Data Quality Tests (data quality tests for datasets)
- Data Inputs (sources of data)
- Transformer Runs (executions of ETL or ML training jobs)
- Quality Test Runs executions of data quality tests
For more information, please check **[specification.md](https://github.com/opendatadiscovery/opendatadiscovery-specification/blob/main/specification/specification.md)**.
## Community Support
Join our community if you need help, want to chat or have any other questions for us:
- [GitHub](https://github.com/opendatadiscovery/odd-platform/discussions) - Discussion forums and issues
- [Slack](https://go.opendatadiscovery.org/slack) - Join the conversation! Get all the latest updates and chat to the devs
## Contacts
If you have any questions or ideas, please don't hesitate to drop a line to any of us.
| Team Member | LinkedIn | GitHub |
| ---------------- | ------------------------------------------------------------------ | --------------------------------------------------- |
| German Osin | [LinkedIn](https://www.linkedin.com/in/german-osin-47a9339/) | [germanosin](https://github.com/germanosin) |
| Nikita Dementev | [LinkedIn](https://www.linkedin.com/in/nikita-dementev/) | [DementevNikita](https://github.com/DementevNikita) |
| Damir Abdullin | [LinkedIn](https://www.linkedin.com/in/dabdullin/) | [damirabdul](https://github.com/damirabdul) |
| Alexey Kozyurov | [LinkedIn](https://www.linkedin.com/in/aleksei-koziurov/) | [Leshe4ka](https://github.com/Leshe4ka) |
| Pavel Makarichev | [LinkedIn](https://www.linkedin.com/in/pavel-makarichev-8a8730a4/) | [vixtir](https://github.com/vixtir) |
| Roman Zabaluev | [LinkedIn](https://www.linkedin.com/in/haarolean/) | [Haarolean](https://github.com/haarolean) |
## License
ODD Platform uses the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0.txt). 
