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 MemoryDataset copy_mode selection
- Universal Kedro Deployment (Part 4) - Embedding kedro pipelines in third-party applications
- Add video embeds of the YouTube training course sections to pages where they add value
- Enhancing Pipeline Context Preservation in Runners for Deployment of Kedro (on AWS Batch)
- Nodes with same output dataset for Partitioned Scenarios
- Clarify unexpected namespace filtering behavior
- Avoid hardcoding requirements in project templates hooks `utils.py`
- Describe how to use custom code with Kedro
- Misleading error message when required `AbstractDataset` methods aren't implemented
- Monthly issue metrics report
- Docs
- Python not yet supported