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
- Move `kedro-catalog` JSON schema to `kedro-datasets`
- Investigate the flakiness of the unit tests failing during nightly builds
- Dataset `load` / `save` method cannot take arguments
- Enhance Kedro Namespaces adoption
- Running a pipeline mutates the original catalog object
- Bump up `pytest-cov` in project template and starters `pyproject.toml`
- Delete/Rewrite run a pipeline doc as LambdaDataset will be removed in 0.20.0
- Deployment: UX Research Playback
- Improve OmegaConfigLoader performance when global/variable interpolations are involved
- Enhance Kedro Deployment
- Docs
- Python not yet supported