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Project comparison
Simpletuner vs Diffusers
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Simpletuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
2.8K
Stars
0
Weekly
66/100
Health
Diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
33.6K
Stars
0
Weekly
72/100
Health
Quick Take
Adoption
Diffusers has the larger GitHub footprint with 33.6K stars.
Momentum
Simpletuner is currently growing faster at 0 stars this week.
Maintenance
Diffusers has the stronger health score at 72/100.
Side-by-side Metrics
| Signal | Simpletuner | Diffusers |
|---|---|---|
| GitHub stars | 2.8K | 33.6K |
| Weekly growth | 0 | 0 |
| Health score | 66 | 72 |
| Contributors | 60 | 1.1K |
| Commits per week | 16.5 | 19.5 |
| Open issues | 27 | 1.1K |
| Language | Python | Python |
| License | AGPL-3.0 | Apache-2.0 |
| Last commit | 5d ago | 17h ago |
| Last release | v4.2.3 | v0.38.0 |
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