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
- Decide new name for "reused pipelines with namespaces"
- Refactor the code in `cli/starters.py`
- Integrate `kedro-telemetry` package into Kedro
- Design `DataCatalog2.0`
- Add a CLI command to initialize `kedro ipython` with specified `dataset_name` as `data` variable
- Importing `kedro.runners` enables Rich logging
- Add remote (cloud) options for --conf-source
- [Spike] How to properly use Logfire in Kedro?
- Document Kedro compatibility with workflow tools like uv, Hatch, PDM, Rye, Poetry
- Clearer underlying dataset issues
- Docs
- Python not yet supported