Kedro ORG

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.

Python framework that turns messy data science notebooks into organized, reusable pipelines with a standard project layout, a config-driven data catalog, and automatic step ordering based on how your functions connect.

Visualise your Kedro data and machine-learning pipelines and track your experiments.

Plugins, extensions, case studies, articles, and video tutorials for Kedro

First-party plugins maintained by the Kedro team.

Examples of data science projects created with Kedro.

Templates for your Kedro projects.

Repo for Kedro Academy

Find documentation and a template project for delivering Kedro training.

Kedro extension for VSCode including LSP and other features

Publish and share Kedro-Viz static website on GitHub pages in your workflow through this GitHub action

No description.

Kedro Builder lets you design Kedro pipelines without touching YAML or Python boilerplate. Build pipelines visually, configure nodes and datasets through guided forms, validate the graph, preview the generated project structure, and export a production-ready Kedro project in seconds.

A repository for the official home of Kedro.

Brand identity for the Kedro project

This project demonstrates how to integrate Kedro-Viz as React component into a simple React application.

An MCP (Model Context Protocol) server to interact with components in Kedro

No description.

Save performance benchmarks for Kedro

Distribute AI coding skills to Kedro projects.

Kedro developer relations team use this for content creation ideation and execution

Documentation for Kedro's GitHub organisation