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Project comparison
Onnxstream vs Diffusers
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Onnxstream
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM) bindings available.
2.1K
Stars
0
Weekly
30/100
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
Onnxstream is currently growing faster at 0 stars this week.
Maintenance
Diffusers has the stronger health score at 72/100.
Side-by-side Metrics
| Signal | Onnxstream | Diffusers |
|---|---|---|
| GitHub stars | 2.1K | 33.6K |
| Weekly growth | 0 | 0 |
| Health score | 30 | 72 |
| Contributors | 5 | 1.1K |
| Commits per week | 0.0 | 19.5 |
| Open issues | 67 | 1.1K |
| Language | C++ | Python |
| License | NOASSERTION | Apache-2.0 |
| Last commit | 3mo ago | 17h ago |
| Last release | v0.2 | v0.38.0 |
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