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Project comparison
Awesome MCP ZH vs Transformers
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Awesome MCP ZH
MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients
7.1K
Stars
0
Weekly
42/100
Health
Transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
160.5K
Stars
+220
Weekly
96/100
Health
Quick Take
Adoption
Transformers has the larger GitHub footprint with 160.5K stars.
Momentum
Transformers is currently growing faster at +220 stars this week.
Maintenance
Transformers has the stronger health score at 96/100.
Side-by-side Metrics
| Signal | Awesome MCP ZH | Transformers |
|---|---|---|
| GitHub stars | 7.1K | 160.5K |
| Weekly growth | 0 | +220 |
| Health score | 42 | 96 |
| Contributors | 44 | 3.9K |
| Commits per week | 4.5 | 64.0 |
| Open issues | 101 | 2.4K |
| Language | N/A | Python |
| License | MIT | Apache-2.0 |
| Last commit | 1mo ago | 19h ago |
| Last release | N/A | v5.8.0 |
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