Current AI releases Gap Map v0.1, an open dataset cataloging 421 open-source AI products and 16,185 GitHub repositories
The Gap Map v0.1 provides structured data on 85 models, 266 tools/libraries, 50 datasets, and 20 hardware projects across 14 categories, released under MIT license with accompanying notebooks and schemas.
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- Current AI launched Gap Map v0.1, indexing 421 open-source AI products across 14 categories and 3 stack layers.
- The dataset includes 85 models, 266 software tools/libraries, 50 datasets, and 20 hardware projects from 228 organizations.
- Underlying data released under MIT license in a GitHub repository with 1,184 YAML files, notebooks, and schemas.
- The project tracks 16,185 GitHub repositories, explorable via Datasette Lite.
Current AI, a non-profit founded at the AI Action Summit in Paris in February 2025, released Gap Map v0.1 to index the state of open-source AI. The map details 421 products across 14 categories, spanning three layers of the stack: model components, product/UX, and infrastructure.
The dataset categorizes 85 models, 266 software tools and libraries, 50 datasets, and 20 hardware projects, all produced by 228 organizations. An additional 24,400 artifacts remain uncategorized as part of the long tail of the open-source AI ecosystem.
The underlying data is released under an MIT license in the GitHub repository currentai-org/os-ai-map, which includes 1,184 YAML files alongside notebooks, schemas, and other supporting scripts. This structured data enables reproducibility and further analysis by the community.
To facilitate exploration, the project provides a CSV file of 16,185 GitHub repositories tracked by the map, which can be loaded into Datasette Lite for interactive querying. This approach lowers the barrier to entry for analyzing the open-source AI landscape.
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