The open source ecosystem is rich but has gaps, and together we can close them. We surveyed hundreds of products across openness, capability and adoption, and created a map based on the three core pillars of building an AI system. Explore the map, suggest a feature, and close a gap.
Version 0.2.0
Open Source AI Stack Gap Map
The 3 pillars of building an AI system
The Gap Map
Go to Gap MapAbout the Gap Map
Building on work from leading open source AI experts at the Columbia Convening, the Model Openness Framework, Hugging Face, and others, the Gap Map comes out of cumulative work to identify the points of highest leverage in the stack: where to build, where to invest in capability, where to open up the tools.
We intentionally don’t compare closed versus open AI ecosystems, or point to where open source AI leads or lags. Instead, the Gap Map illustrates what’s needed to build the system we want. This is v1, together we'll continue to build upon and refine it.
For details on how products are scored and categories assessed, see our methodology.
