Open Source AI Gap Map

2026-07-03 · Source: Simon Willison's Weblog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Data Science & Analytics · Depth: Intermediate, quick

Summary

Current AI, a non-profit established in February 2025 with \$400m committed capital, has launched its Open Source AI Gap Map v0.1. This initiative aims to index the open-source AI ecosystem, detailing 421 products from 228 organizations. These products encompass 266 software tools, 85 models, 50 datasets, and 20 hardware projects, organized into 14 categories across three stack layers. The map also identifies 24,400 uncategorized artifacts. Significantly, the underlying data, consisting of 1,184 YAML files, notebooks, and scripts, is released under an MIT license on the currentai-org/os-ai-map GitHub account, enabling direct exploration using tools such as Datasette Lite, which currently tracks 16,185 GitHub repositories.

Key takeaway

For AI Scientists seeking to navigate the rapidly expanding open-source AI landscape, you should investigate Current AI's Gap Map. This resource offers a structured overview of tools, models, and datasets, and its underlying MIT-licensed data provides a valuable foundation for custom analysis or integration into your own projects. Utilize the GitHub data with tools like Datasette Lite to identify relevant repositories and emerging trends.

Key insights

The Open Source AI Gap Map provides a comprehensive, indexed view of the open-source AI ecosystem.

In practice

• Explore 421 indexed open-source AI products
• Access 1,184 MIT-licensed YAML data files
• Use Datasette Lite for GitHub repository analysis

Topics

• Open-Source AI
• AI Ecosystem
• Data Catalogs
• Machine Learning Models
• Datasets
• GitHub

Code references

• currentai-org/os-ai-map

Best for: CTO, VP of Engineering/Data, AI Architect, AI Scientist, Machine Learning Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Simon Willison's Weblog.