LF AI & Data Foundation, an organization dedicated to fostering an ecosystem for sustainable open-source innovation in artificial intelligence (AI) and data projects, has announced the graduation of Kedro, an open-source Python framework for building production-ready data science pipelines. Kedro’s progression from incubation to graduation within LF AI & Data, affirms its stability, maturity, and value to the global data science and machine-learning community.
About Kedro
Originally open sourced in 2019 and contributed to LF AI & Data by QuantumBlack, AI by McKinsey, in August 2021, Kedro has become a powerful framework supporting complex data workflows through modular, reusable, and reproducible code. Kedro brings software engineering best practices into data science, enabling data scientists and engineers to focus more on creating value and less on technical overhead.
Key Milestones and Community Achievements
Kedro has grown significantly since joining LF AI & Data, thanks to its vibrant and active community. Here are some recent highlights:
- GitHub Community: Over 10,000 stars across all repositories, 900+ forks, and 220+ contributors worldwide
- Read the Docs: 1,000+ weekly pageviews
- YouTube: 7,000+ monthly views on Kedro tutorials and guides
- VS Code Marketplace: Recently launched with 1,200+ installs
- Technical Steering Committee (TSC): Grew to 6 organizations
LF AI & Data Collaborations
Kedro has furthered its reach through notable integrations within the LF AI & Data ecosystem, including:
- Kedro + ONNX: Support for loading and saving ONNX datasets, helping bridge Kedro workflows with cutting-edge machine-learning frameworks.
- Kedro + Delta Lake: Seamless integration with Delta Lake through Spark and Polars, enabling robust data processing and storage capabilities.
Events and Outreach
Kedro has actively participated in a wide range of events and conferences, engaging with diverse communities to showcase its capabilities and expand its reach. Key events include:
- PyCon: US, Netherlands, Spain, France, Chile, Hong Kong
- PyData: London
- Miscellaneous: AMLD EPFL, EuroPython, PyLadies London, Women Coding Community, Grace Hopper
Join the Kedro Community
The Kedro community continues to thrive on Slack, where you can find support, share ideas, and collaborate with other Kedro users and contributors. Archived discussions from Slack are also available to help answer questions and document community contributions.
Congratulations to the Kedro project and its community for achieving graduation status within LF AI & Data. This milestone is a testament to the community’s dedication to building a better, production-ready future for data science.
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