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
- Split raw config reading from merge/resolve in OmegaConfigLoader
- Add environment variable to allowlist custom logging modules
- Graduate `LLMContextNode` from experimental to core feature
- Add docs section about evaluation
- Faster config loading: an antlr4-free alternative to `OmegaConfigLoader`
- HTTP server: support `runtime_params` for `/snapshot`
- Data validation - integration with kedro-viz run status
- Fix CachedDataset.__repr__ mislabelling the cache dataset type
- CachedDataset.__repr__ mislabels the cache with the wrapped dataset's class
- [WIP] Pre-load OCL
- Docs
- Python not yet supported