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
- The pipeline registry is difficult to understand
- [Parent] Improve documentation section that covers "Nodes & pipelines"
- [Parent] Improve documentation section that covers "Extend Kedro"
- get_protocol_and_path does not correctly parse paths with # in them
- [Spike] Explore integration with Dagster
- Using paths relative to `project_root` in dataset implementation
- Make config loading consistently happen before pipelines are registered to allow for dynamic pipelines with OmegaConf
- Removing KedroContext params and catalog hot-reload
- Look into using `autouse` fixture to reset package imports in unit tests
- Add functionality to remove (versioned) datasets
- Docs
- Python not yet supported