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
- Running a pipeline mutates the original catalog object
- Add link to advanced runtime_params configuration
- Update mermaid entrypoint diagrams with current state
- Bump up `pytest-cov` in project template and starters `pyproject.toml`
- Discrepancy between setting `save_version` via catalog constructor and when passing datasets
- [DataCatalog]: Catalog to config
- Catalog to config prototype
- Delete/Rewrite run a pipeline doc as LambdaDataset will be removed in 0.20.0
- Inconsistency when setting version via `versioned` flag and dataset parameter
- Deployment: UX Research Playback
- Docs
- Python not yet supported