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
- Performance analysis and smart re-running of pipelines
- [Investigate] ParallelRunner does not work with S3-linked data catalog
- Investigate how session/context should be re-designed to work well for API use-cases
- Separate `params` to `runtime_params` and `meta_params`
- Clarify documentation for matplotlib datasets
- Update documentation around credentials management
- Document usage of Kedro + DVC
- Parent task: Content on Kedro + complementary tools (integrations with other tools, best practices and tutorials)
- support of on_dataset_load_error hook just like before_dataset_loaded or after_dataset_loaded
- Add `kedro run --namespace __default__` and `kedro run --namespace a,b`
- Docs
- Python not yet supported