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
- Rich installation creates a non-uniform CLI experience
- Investigate how session/context should be re-designed to work well for API use-cases
- Update documentation around credentials management
- Skip node at runtime
- Deployment support/Kedro deployer
- Investigate best way to fix and fix MyPy failure on `pipeline_registry.py` in default template
- `kedro run --params key=1,2,3` Kedro CLI does not take list as argument
- Pass kwargs to _register_new_resolvers from settings.py
- Make Partitioned Dataset Lazy Saving example more robust
- Multiple confirms for the same IncrementalDataSet
- Docs
- Python not yet supported