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
- Update Trufflehog version with pre-commit
- Support `%load_ext kedro`
- Define best practice for integrating Kedro and dlt
- Monthly issue metrics report
- Investigate performance of `%reload_kedro` on Databricks
- kedro run does not work after single machine deployment
- Make `IncrementalDataset`'s `confirms` "namespaced"
- `PartitionedDataset` has inconsistent lazy behavior
- ability to kedro run --version 'label'
- Clarification of the terminology "global" config
- Docs
- Python not yet supported