Open Source AI Gap Map: An Ambitious Overview of Global AI

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Key Takeaways

1The Open Source AI Gap Map was launched at the AI Action Summit in Paris in February 2025, with $400 million in support.

2Version 0.1 of the Gap Map catalogs 421 open source AI products, including tools, models, and datasets.

3The underlying data, available on GitHub, allows for detailed exploration via Datasette Lite, including 16,185 tracked repositories.

💡Why it matters — This initiative aims to structure and make accessible the complex ecosystem of open source AI, facilitating global innovation and collaboration.

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Full Analysis

An Ambitious Project for Open Source AI

The Open Source AI Gap Map, an innovative project, was unveiled at the AI Action Summit in Paris in February 2025. This initiative, backed by significant funding of $400 million, presents itself as a global partnership aimed at providing a public alternative in the field of artificial intelligence.

A Detailed Mapping of the Ecosystem

The Gap Map, in its version 0.1, offers a comprehensive mapping of the current state of open source AI. It precisely catalogs 421 products, including 266 software tools and libraries, 85 models, 50 datasets, and 20 hardware projects. These products come from 228 different organizations and are classified into 14 categories spread across three layers of the technology stack: model components, product/UX, and infrastructure.

Additionally, the map identifies 24,400 additional artifacts that make up the long tail of the ecosystem, although they are not yet classified or rated, pending future research and citations.

Accessibility and Data Exploration

The underlying data of the Gap Map is published under an MIT license and is accessible via the GitHub account currentai-org/os-ai-map. It includes 1,184 YAML files, as well as various notebooks, schemas, and scripts used for their compilation.

Thanks to their availability on GitHub, this data can be explored using Datasette Lite. This tool allows access to a CSV file containing 16,185 GitHub repositories tracked by the project, thus providing a detailed and interactive overview of the open source AI ecosystem.

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