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Project comparison
Nexa Sdk vs Diffusers
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Nexa Sdk
Run frontier LLMs and VLMs with day-0 model support across GPU, NPU, and CPU, with comprehensive runtime coverage for PC (Python/C++), mobile (Android & iOS), and Linux/IoT (Arm64 & x86 Docker). Supporting OpenAI GPT-OSS, IBM Granite-4, Qwen-3-VL, Gemma-3n, Ministral-3, and more.
8.0K
Stars
0
Weekly
43/100
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
Nexa Sdk is currently growing faster at 0 stars this week.
Maintenance
Diffusers has the stronger health score at 72/100.
Side-by-side Metrics
| Signal | Nexa Sdk | Diffusers |
|---|---|---|
| GitHub stars | 8.0K | 33.6K |
| Weekly growth | 0 | 0 |
| Health score | 43 | 72 |
| Contributors | 27 | 1.1K |
| Commits per week | 0.9 | 19.5 |
| Open issues | 46 | 1.1K |
| Language | Kotlin | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 27d ago | 17h ago |
| Last release | v0.2.73 | v0.38.0 |
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