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
- Project snapshot lists parameters as datasets when a factory pattern matches them
- Expose node groups in the project snapshot
- Allow for dataset injection in `KedroServiceSession`
- Stream generator nodes decorated with functools.wraps
- Generator node wrapped with a functools.wraps decorator is saved as a generator object instead of being streamed
- `KedroServiceSession`: Dataset injection
- Expose node groups in the project snapshot
- Add a deploy-databricks skill
- MemoryDataset: _EMPTY sentinel does not survive pickling, so load() returns a bare object() instead of raising DatasetError
- Dask deployment guide: custom runner recipe is broken
- Docs
- Python not yet supported