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
- Exposing load/save version in hooks or included these information in logs?
- Re-design io.core and io.data_catalog
- Document how users can use Ray with Kedro
- `_cli_hook_manager.enable_tracing()` causing error on some runs
- Document more advanced hook use cases
- Parent task: Content on Kedro vs complementary tools
- Add `before/after_pipelines_registered` hook OR `before/after_pipeline_filtered`
- Dynamic Pipeline
- [KED-2744] Memory Leakage - Unexpected Caching behaviour with CacheDataset
- Make `node` to accept input/outputs in a consistent manner
- Docs
- Python not yet supported