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kedro-org/kedro

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.

Latest metrics (snapshot 2026-10-14)

stars11020
forks1096
issues130
pushed_at2026-10-14T14:27:40Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1411020

ADC Momentum: 30/100

ADC Momentum 30 Leaderboard

Growth velocity16
Consistency13
Recency99
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionKedro 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.
urlhttps://github.com/kedro-org/kedro
languagePython
licenseNOASSERTION
topicsagentic-ai
agentic-workflow
data-pipelines
hacktoberfest
kedro
machine-learning
machine-learning-engineering
mlops
python
created_at2019-04-18T10:29:56Z
homepagehttps://kedro.org

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