kedro
Enrichment pendingKedro 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, an
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Trust & integrity
Full report- Maintenance
- Very active (2d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Organization account
- As of today · Source: github_public_v1
- Security (OSV)
- No lockfile
- As of today · Source: none
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
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.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 11, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
To install Kedro from the Python Package Index (PyPI) run:Source link
Tags
README
How do I install Kedro?
To install Kedro from the Python Package Index (PyPI) run:
uv pip install kedro
It is also possible to install Kedro using conda:
conda install -c conda-forge kedro
Our Get Started guide contains full installation instructions, and includes how to set up Python virtual environments.
Installation from source
To access the latest Kedro version before its official release, install it from the main branch.
uv pip install git+https://github.com/kedro-org/kedro@main