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Project comparison
RAG Anything vs Transformers
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
RAG Anything
"RAG-Anything: All-in-One RAG Framework"
20.1K
Stars
0
Weekly
59/100
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 | RAG Anything | Transformers |
|---|---|---|
| GitHub stars | 20.1K | 160.5K |
| Weekly growth | 0 | +220 |
| Health score | 59 | 96 |
| Contributors | 46 | 3.9K |
| Commits per week | 10.8 | 64.0 |
| Open issues | 98 | 2.4K |
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Last commit | 1d ago | 18h ago |
| Last release | v1.3.0 | v5.8.0 |
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