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Project comparison
Onnxstream vs Nexa Sdk
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.
Best matched with other image tools.
2.1K
Stars
+9
Weekly
31/100
Health
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.
Best matched with other image tools.
8.0K
Stars
0
Weekly
41/100
Health
Quick Take
Adoption
Nexa Sdk has the larger GitHub footprint with 8.0K stars.
Momentum
Onnxstream is currently growing faster at +9 stars this week.
Maintenance
Nexa Sdk has the stronger automated maintenance signal at 41/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Onnxstream | Nexa Sdk |
|---|---|---|
| Evidence status | Basic listing· 5d ago | Basic listing· 5d ago |
| GitHub stars | 2.1K | 8.0K |
| Weekly growth | +9 | 0 |
| Health score | Caution31/100 |
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