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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Help out
- Issues
- Move tools e2e tests (without pyspark or example pipeline) back to Kedro repo
- [Spike]Add `AGENTS.md` (with `CLAUDE.md` symlink) to all Kedro ecosystem Repositories
- Documentation IA overhaul: Transition Kedro docs to Diátaxis structure
- Feature request: RAG / LLM pipeline debugging tutorial using 16-problem ProblemMap
- Explore a Kedro-First Approach to Data Validation
- Enable concurrent KedroSession usage
- Review & update Kedro deployment docs for AWS Batch
- Spike: Optional `@node` decorator to reduce Kedro boilerplate
- KedroSession and Pipeline Loading: Design & Performance Considerations
- Re-record `slice_pipeline_kedro_viz.gif`
- Docs
- Python not yet supported