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
- Enhancing Pipeline Context Preservation in Runners for Deployment of Kedro (on AWS Batch)
- 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
- Refactor dask deployment documentation to use public methods
- Rich add newline to long log message and it cannot be copy and paste directly into terminal
- Ability to set a custom runner globally
- The pipeline registry is difficult to understand
- Docs
- Python not yet supported