McKinsey’s QuantumBlack will offer Kedro, a machine learning pipeline tool, to the open source community, according to the Linux Foundation, a nonprofit consortium that provides a vendor-neutral centre for open source initiatives. Kedro will be maintained by the Linux Foundation under the Linux Foundation AI & Data (LF AI & Data) umbrella organisation, which was created in 2018 to foster AI innovation by supporting technical projects, developer communities, and businesses.
“We’re excited to welcome the Kedro project into LF AI & Data. It addresses the many challenges that exist in creating machine learning products today and it is a fantastic complement to our portfolio of hosted technical projects,” Ibrahim Haddad, executive director of LF AI & Data, said. “We look forward to working with the community to grow the project’s footprint and to create new collaboration opportunities with our members, hosted projects and the larger open-source community.”
There are other machine learning pipeline design tools available, however Kedro is a newcomer to the scene. It’s a Python framework that borrows concepts from software engineering and applies them to data science, laying the groundwork for bringing a project from concept to finished product, according to McKinsey.
According to Schwarzmann, Kedro will continue to be the core of McKinsey’s analytics efforts when it is open sourced. “The ideas and guardrails that exist in Kedro are a reflection of that experience and are designed to help developers avoid common pitfalls and follow best practices,” product manager Joel Schwarzmann said in a blog post.