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 kedro startup time, by only importing the pipeline that we are running.
- Add a deployment mode to skip non-essential validation checks during kedro run
- MemoryDataset save not working within KedroSession
- Add OmegaConfigLoader._get_unresolved_config method which return dictconfig instead of fully resolved configuration
- Add pip to dev requirements
- [DataCatalog2.0]: Running pipeline with versioned datasets gives an error
- Make suggested resume commands copy-pasteable even when they extend over multiple lines
- Roadmap: Interactive Pipeline Builder UI
- [Blog] Review and classify the blog posts on kedro.org ready for transition
- dask documentation for local runs
- Docs
- Python not yet supported