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Kedro Project Proposal

Name of the project: Kedro

Requested maturity level: Incubation

Description: Kedro is an open-source Python framework for creating reproducible, maintainable and modular data science code. It borrows concepts from software engineering best-practice and applies them to machine-learning code; applied concepts include modularity, separation of concerns and versioning.

Alignment with LF AI & Data’s mission: Kedro provides a framework for authoring machine learning code underpinned by software engineering best practice which in turn makes code easier to deploy into production systems. Kedro is a framework that supports LF AI & Data’s objectives in MLOPs as well as Machine Learning Engineering.

Have you identified possible collaboration opportunities with current LF AI hosted projects?

  • Amundsen

  • Feast

  • Flyte

  • OpenLineage

Source control:

Issue tracker:

  • We use an internal JIRA issue tracker

External dependencies:

Languages:

  • Python

  • Javascript

Dependencies:

Initial committers:

Total number of contributors at the time of submitting this proposal: 107

Has the project defined the roles of contributor, committer, maintainer, etc.? None, we will work with LF to set up the project role model.

Project governance: None, we will work with LF to set up the open governance model for this.

Does the project have a code of conduct? Yes, please see the Code of Conduct: https://github.com/quantumblacklabs/kedro/blob/master/CODE_OF_CONDUCT.md.

Current mailing lists:

Infrastructure requests: None at the moment

Resources:

Release methodology & mechanics: Releases are performed when committers agree to do so. The release is performed by tagging in Github, and pushing artefacts to PyPi and npm.

Social media accounts: None

Website: None, we will request design resources to register a domain and design a proper website.

Project documentation: Available on Read the Docs: https://kedro.readthedocs.io/en/stable/

Existing sponsorship: McKinsey and QuantumBlack are the originators of the project and the main contributors to the project. Kedro continues to be used on a growing list of companies: https://github.com/quantumblacklabs/kedro#who-likes-kedro.