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
- 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
- Multiple confirms for the same IncrementalDataSet
- Make `session_id` customisable.
- Create external documentation plugin
- Kedro tracebacks are overwhelming
- Visually distinguish stable from unreleased documentation
- Cannot override packed `*args` or `**kwargs` to an instance of a modular pipeline using the `pipeline()` wrapper
- Investigate how users can use Ray with Kedro
- Docs
- Python not yet supported