kedro
https://github.com/kedro-org/kedro
Python
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
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- Issues
- Clarification of the terminology "global" config
- Decide new name for "reused pipelines with namespaces"
- Integrate `kedro-telemetry` package into Kedro
- Design `DataCatalog2.0`
- Add remote (cloud) options for --conf-source
- Document how to properly use Logfire in Kedro
- Document Kedro compatibility with workflow tools like uv, Hatch, PDM, Rye, Poetry
- Clearer underlying dataset issues
- Spike: How can we make upgrading Kedro projects easier?
- Improve error message in `ModularPipelineError` raised within `_validate_datasets_exist()`
- Docs
- Python not yet supported