Cloud Pipelines Studio 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.
Please take a look at the short video demonstrating the first version of the visual pipeline editor.
Cloud Pipelines Editor - Build machine learning pipelines without writing code
The experimental new version of the Cloud Pipelines Studio app is now available at https://cloud-pipelines.net/pipeline-studio-app . No registration is required to experiment with building pipelines. To install your own app instance, follow the backend installation instructions.
Please check it out and report any bugs you find using GitHub 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.
- Build pipeline using drag and drop
- Edit component arguments
- Submit the pipeline for execution. (Follow the backend installation instructions.)
- The ComponentSpec/
component.yamlformat used by Cloud Pipelines is fully compatible with the Google Cloud Vertex AI Pipelines and Kubeflow Pipelines v1. You can find many components here: Ark-kun/pipeline_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.
This app is based on the Pipeline Editor app created by Alexey Volkov as part of the Cloud Pipelines project.