GraphCanon updated Sep 26, 2026 · GitHub synced Sep 26, 2026
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Decision brief
Kedro is ideal for productionizing data science projects through its emphasis on software engineering discipline within the Python environment.
Good fit when
- When your project demands reproducibility and maintainability in pipelines, leveraging Kedro's focus on modular design can greatly enhance these attributes.
- For teams seeking to integrate rigorous version control and dependency management practices into their data science workflow, Kedro provides a structured approach.
Avoid when
- Avoid using Kedro if your project requirements favor minimal setup and quick experimentation over robust pipeline architecture; its structured framework might feel restrictive.
- If the team is not well-versed in Python or software engineering best practices, Kedro may pose a learning curve that could delay project progress.
- Requirements:
- Installable via pip or conda, ideal for Python environments.
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 26, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 26, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install kedroSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Kedro is designed to help create reproducible, maintainable, and modular data engineering and data science pipelines using software engineering best practices.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 26, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 26, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 26, 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: It is also possible to install Kedro using : Our Get Started guide contains full installation instructions, and includes how to set up Python virtual environments. Installation from source To acces...
For agents
This page has a .md twin and JSON over the API.