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
- Allow for dataset injection in `KedroServiceSession`
- `KedroServiceSession`: Dataset injection
- Add a deploy-databricks skill
- Dask deployment guide: custom runner recipe is broken
- Add docs section about evaluation
- Faster config loading: an antlr4-free alternative to `OmegaConfigLoader`
- Data validation - integration with kedro-viz run status
- [Docs] Improve docs for AI-agent consumption
- CLI for Dataset Validation
- Docs
- Python not yet supported