GregoryKogan/yt-framework

Build scalable data pipelines on YTsaurus with automatic stage management, local development simulation, and more.

45
/ 100
Emerging

This framework helps data engineers build and manage complex data processing workflows on YTsaurus (YT) clusters. You define your data tasks as 'stages,' and the framework takes care of running them efficiently, whether you're prototyping on your local machine or deploying to a large cluster. It simplifies moving raw data through various processing steps to produce refined datasets or analytical results.

Available on PyPI.

Use this if you are a data engineer or MLOps engineer needing to build, test, and deploy robust, scalable data pipelines on a YTsaurus cluster.

Not ideal if you don't use YTsaurus for your data infrastructure or if you're looking for a low-code data integration tool.

data-engineering MLOps data-pipelines big-data-processing workflow-orchestration
Maintenance 13 / 25
Adoption 12 / 25
Maturity 20 / 25
Community 0 / 25

How are scores calculated?

Stars

19

Forks

Language

Python

License

Apache-2.0

Last pushed

Mar 28, 2026

Monthly downloads

406

Commits (30d)

0

Dependencies

6

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