Open Source AI Gap Map
TL;DR · AI 摘要
开源AI领域首个系统性资源图谱发布,覆盖421个产品与2.4万个项目,数据已开源并支持交互式探索。
核心要点
- AI Gap Map收录266个软件工具和85个模型,按三层架构分类
- 项目数据已开源至GitHub并采用MIT许可证
- 通过Datasette Lite可交互查询16,185个GitHub仓库
结构提纲
按章节快速跳转。
思维导图
用一张图看清主题之间的关系。
查看大纲文本(无障碍 / 无 JS 友好)
- 开源AI资源图谱
- 项目概况
- Current AI非营利组织
- 4000万美元资金支持
- 资源分类
- 266软件工具
- 85模型
- 50数据集
- 数据开放
- MIT许可证
- GitHub仓库
- Datasette Lite查询
金句 / Highlights
值得收藏与分享的关键句。
Gap Map v0.1已收录266个软件工具和85个模型,覆盖AI生态三层架构
24,400个未分类项目构成开源AI生态的长尾,暂未计入评分体系
通过Datasette Lite可直接查询16,185个GitHub仓库的追踪数据
Open Source AI Gap Map
Simon Willison’s Weblog
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3rd July 2026 - Link Blog
Open Source AI Gap Map . Current AI is "a global partnership building a public option for AI", founded as a non-profit at the AI Action Summit in Paris in February 2025 and backed by serious capital ($400m already committed).
They launched their Gap Map a couple of days ago - an attempt at indexing the current state of open source AI:
The Gap Map v0.1 details 421 products in depth: 266 software tools and libraries, 85 models, 50 datasets, and 20 hardware projects, produced by 228 organizations. These products are organized into 14 categories across 3 layers of the stack (model components, product / UX, and infrastructure). The remaining 24,400 artifacts constitute the uncategorized long tail of the open source AI ecosystem, and will carry no score until they are researched and cited.
The map itself is interesting to explore, but I'm more excited about the underlying data - released under an MIT license in the currentai-org/os-ai-map GitHub account: 1,184 YAML files plus the notebooks, schemas and other scripts used to help gather them.
Since the files are on GitHub you can use Datasette Lite to explore some of them - here are 16,185 GitHub repos the project is tracking as a CSV file loaded into Datasette Lite.
Posted
3rd July 2026
at 10:04 pm
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This is a link post by Simon Willison, posted on 3rd July 2026 .
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