# pipeline-studio-app **Repository Path**: mirrors_Shopify/pipeline-studio-app ## Basic Information - **Project Name**: pipeline-studio-app - **Description**: WIP: Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment. - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-03-23 - **Last Updated**: 2026-03-21 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Cloud Pipelines Editor Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines using drag and drop without having to set up development environment. ## Video Please take a look at the short video demonstrating the visual pipeline editor. [Cloud Pipelines - Build machine learning pipelines without writing code](https://www.youtube.com/watch?v=7g22nupCDes) [![image](https://user-images.githubusercontent.com/1829149/127566707-fceb9e41-1126-4588-b94a-c69e87fe0488.png)](https://www.youtube.com/watch?v=7g22nupCDes) ## Demo [Demo](https://cloud-pipelines.net/pipeline-editor) The early alpha version of the Cloud Pipelines Editor app shown in this video is now available at . The app is open and standalone. No registration is required. Please check it out and report any bugs you find using [GitHub Issues](https://github.com/Cloud-Pipelines/pipeline-editor/issues). The app is under active development, so expect some breakages as I work on the app and do not rely on the app for production. App features: - Build pipeline using drag and drop - Edit component arguments - Submit the pipeline to [Google Cloud Vertex Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/) for execution. - Fully compatible with the Kubeflow Pipelines' components (`component.yaml` files) You can find some components here: [Ark-kun/pipeline_components](https://github.com/Ark-kun/pipeline_components/tree/master/components) or [kubeflow/pipelines/components](https://github.com/kubeflow/pipelines/tree/master/components#index-of-components) - Preloaded component library - User component library (add private components) - Component search - Import and export pipelines There are many features that I want to add, but I want to prioritize them based on your feedback.