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Project comparison
LibreChat vs ML For Beginners
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
LibreChat
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active.
36.9K
Stars
+288
Weekly
82/100
Health
ML For Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
85.7K
Stars
0
Weekly
59/100
Health
Quick Take
Adoption
ML For Beginners has the larger GitHub footprint with 85.7K stars.
Momentum
LibreChat is currently growing faster at +288 stars this week.
Maintenance
LibreChat has the stronger health score at 82/100.
Side-by-side Metrics
| Signal | LibreChat | ML For Beginners |
|---|---|---|
| GitHub stars | 36.9K | 85.7K |
| Weekly growth | +288 | 0 |
| Health score | 82 | 59 |
| Contributors | 340 | 152 |
| Commits per week | 39.6 | 14.5 |
| Open issues | 424 | 9 |
| Language | TypeScript | Jupyter Notebook |
| License | MIT | MIT |
| Last commit | 15h ago | 3d ago |
| Last release | N/A | N/A |
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