Simon Willison
Open Source AI Gap Map
What happened
Current AI, a non-profit backed by $400M, has launched Gap Map v0.1, an open-source index mapping 421 curated AI products (including 266 software tools, 85 models, and 50 datasets) alongside a long tail of over 16,000 tracked GitHub repositories. The underlying data is fully open-sourced under an MIT license as a collection of YAML files, allowing developers to programmatically query and explore the open-source AI landscape.
Why it matters
It provides a structured, open-source dataset of the AI ecosystem that builders can use to programmatically discover and audit open-source alternatives for their stack.
The take
While ecosystem maps are often high-level and of limited immediate use to builders, the open-source YAML dataset behind this project is highly valuable. If you are building developer tools or trying to systematically track open-source alternatives to proprietary APIs, this repository provides a clean, pre-structured dataset to bootstrap your discovery or benchmarking pipelines.
Do this
Explore the underlying YAML files in the currentai-org/os-ai-map GitHub repository if you need to programmatically audit or discover open-source AI tooling.
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