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
- Write article on Kedro support for agentic workflows
- Prevent serialization/pickling errors when using cloud-based datasets (e.g., S3).
- Enhance Kedro Docs with Algolia Search Functionality in MkDocs Setup
- Flatten the learning curve of Kedro
- Improve visual hierarchy of CLI command headers in new documentation structure
- Make Kedro CLI utilities functions public
- Implement prototype test setup for benchmarking AI coding assistants on Kedro tasks
- Rich logging integration mishandles Kedro node brackets and markup escaping
- Phase 2 user testing for Kedro Builder (iterate on key feedback + gather early usage signals)
- [DataCatalog2.0]: `catalog.to_config()` outputs empty version for datasets with `versioned=True` set via `config.yml`
- Docs
- Python not yet supported