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
- Support upsert operations for SQL datasets
- Docs: Improve guidance for building & using custom config loaders (OmegaConf implications)
- Improve kedro startup time, by only importing the pipeline that we are running.
- Rename the term "data science" to the term "data engineering and data science"
- Add a deployment mode to skip non-essential validation checks during kedro run
- feat: add Python 3.14
- MemoryDataset save not working within KedroSession
- Make suggestions after typo in pipeline name during `kedro run`
- Add OmegaConfigLoader._get_unresolved_config method which return dictconfig instead of fully resolved configuration
- Add pip to dev requirements
- Docs
- Python not yet supported