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
- Database Connection Failure on AML clusters using kedro `ThreadRunner`
- Flexible node selection in `kedro run` command line syntax
- Simplify setting credentials when switching between different environments
- Access dataset filepath via public API for file-backed datasets
- `kedro new` generate weird `settings.py` file
- Unpack dictionary parameters
- Logs for packaged Kedro projects are confusing
- Default to `raise_errors=True` in `find_pipelines`
- Broken link in docs guidelines/standards
- UnboundLocalError: cannot access local variable 'pipelines_package' where it is not associated with a value
- Docs
- Python not yet supported