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
- OmegaConfigLoader keeps old globals after config_loader["globals"] is set
- Reset the cached globals when config_loader["globals"] is set
- Azure container is dropped from az:// and abfs://container@account paths
- Keep the container in az:// and abfs://container@account paths
- Dataset validator on a PartitionedDataset receives the partition loaders, not the data
- fix(starters): use dependency groups for dev tools
- Skip parameters when resolving dataset factory patterns in the project snapshot (#5804)
- feat(pipeline): unpack params dictionaries into node keyword arguments
- docs: update Dask deployment guide for modern Kedro runners
- Bound concurrent runner admission and reduce scheduling overhead
- Docs
- Python not yet supported