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
- Improve reference documentation for the CLI
- `pipeline.pipeline` confuses IDE autocompletion
- Pass kwargs to _register_new_resolvers from settings.py
- Make Partitioned Dataset Lazy Saving example more robust
- Workflow of debugging Kedro pipeline in notebook
- Investigate further inconsistencies between the CLI and Kedro API
- Multiple confirms for the same IncrementalDataSet
- Add documentation for the soft-fail runner if/when it is released in a supported version.
- Universal Kedro deployment (Part 1) - Separate external and applicative configuration to make Kedro cloud native
- Make `session_id` customisable.
- Docs
- Python not yet supported