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
- Namespaced Nodes
- [Draft] - Improve the Kedro Run log, make "go to definition" easier
- Better Error Logging
- How to get the actual method selected to read a Generic Dataset?
- Better Credentials Support in Catalog
- Best practices for sharing configuration across multiple catalog files
- Omegaconf breaks with a custom resolver providing a datetime
- CachedDataset example usage
- Outdated `DryRunner` misses default datasets
- Refactor tests for the new project creation flow in `test_starters.py`
- Docs
- Python not yet supported