452 of the 388,317 public repositories in the corpus declare a dependency on Mistral AI. That is 0.7% of the Model Providers category, where it ranks 6 of 11.
Repos are counted by creation quarter, so recent quarters keep growing as the corpus is re-observed. This is adoption among repos we have scanned, not the whole of GitHub.
| lfnovo/open-notebook | 39,922 | agent |
| assafelovic/gpt-researcher | 30,085 | agent |
| browser-use/web-ui | 16,611 | agent |
| FareedKhan-dev/all-agentic-architectures | 4,154 | agent |
| benman1/generative_ai_with_langchain | 1,439 | agent |
| ricklamers/shell-ai | 1,154 | framework |
| Bessouat40/RAGLight | 672 | framework |
| mozilla/bugbug | 576 | framework |
| vibesurf-ai/VibeSurf | 482 | agent |
| JetXu-LLM/llama-github | 292 | ai_enabled |
Detected from declared dependencies in package.json, pyproject.toml and requirements.txt. A project using Mistral AI without declaring it is not counted, so this is a floor. How this is measured ยท Browse all repos