Ross ROSS = Recommend OSS · open-source software intelligence for agents

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. observed · 2026-08-28

github.com/kedro-org/kedro · homepage · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

92/100

  • Activity 99
  • Release rhythm 78
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 43.5
  • age_days: 2694
  • days_rel: 65
  • days_push: 7
  • n_releases_24m: 15

Full methodology

Adoption not part of the score

10971 stars · 1071 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Kedro is an open-source Python framework for building production-ready data engineering and data science pipelines using software engineering best practices. It provides project scaffolding, a Data Catalog for data connectors, and modular pipeline abstractions with nodes and dependency resolution.

Use cases

  • build reproducible data science pipelines in python
  • structure a machine learning project for production
  • create modular data engineering pipelines
  • manage data loading and saving across s3, gcp, and azure
  • standardize analytics code across a team
  • transition exploratory notebooks into maintainable pipelines
  • visualize data pipeline dependencies and lineage

When to choose

  • you need reproducible, maintainable data or ML pipelines in Python
  • you want standardized project structure for a data science team
  • you need a data catalog abstracting many file formats and cloud storage backends
  • you want to move from notebooks to production-ready code

When to avoid

  • you need a full workflow scheduler with cron-style triggers - pair Kedro with Airflow instead
  • you only need lightweight ad-hoc scripting without project structure
  • your stack is not Python-based

Facets

framework · maturity stable

etl workflow-automation data-science machine-learning developer-tools machine-learning data-science developer-tools python windows cross-platform data-pipelines mlops data-catalog pipeline-orchestration project-template kedro-viz data-engineering automation linux macos

6 sources

Member repositories

RepositoryRoleHealth v2
kedro-org/kedromain92

For agents

markdown · JSON · MCP: product_card(name="kedro-org/kedro")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem