278 kedro(1) - Kailash Tool Reference
278.1 kedro
kedro - Kedro — production-ready data-science pipeline framework.
| Layer | OPS |
| Category | o-01-mlops-ml-engineering |
| Safety class | safe |
| Licence | Apache-2.0 |
| Upstream | github.com/kedro-org/kedro |
278.1.1 NAME
kedro - Kedro — production-ready data-science pipeline framework.
278.1.2 SYNOPSIS & usage
Derived from the upstream README at generation time; verify against --help where the tool is installed.
uv pip install kedroconda install -c conda-forge kedro278.1.3 DESCRIPTION (upstream)
Kedro is a toolbox for production-ready data engineering and data science pipelines. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular. You can find out more at kedro.org. Kedro is an open-source Python framework hosted by the LF AI & Data Foundation. 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
278.1.4 CONFIGURATION (detected)
Config-surface markers detected in the upstream README (2 matches, e.g. all-checks.yml, all-checks.yml). A full config reference page for this tool is queued under the config-page policy — this line is the detection record, not the page.
278.1.5 SEE ALSO
- Category: o-01-mlops-ml-engineering in the category directory (sister tools listed there).
ref: pin - verified 2026-10-14