# webonnx/wonnx

A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web

Repository: https://github.com/webonnx/wonnx
Canonical: https://ross.abutalabs.com/products/wonnx
Language: Rust
License: NOASSERTION
License Family: other
Topics: rust, onnx, webgpu, webassembly
Archived: true
Last push: 2024-07-21T14:13:32+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1829, "days_push": 773, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1754, forks 71 (observed 2026-08-28T04:05:32.002533+00:00)

## What it is
Wonnx is a GPU-accelerated ONNX inference runtime written entirely in Rust, built on wgpu and usable natively or in the browser via WebGPU and WebAssembly. It ships as a Rust crate, a Python package, an npm WASM module, and a CLI tool for running ONNX models on any GPU backend (Vulkan, Metal, DX12, GLES3).

## Use cases
- run onnx models on the gpu from rust
- execute onnx inference in the browser with webgpu
- accelerate neural network inference with vulkan or metal
- run onnx models from python on the gpu
- inspect and run onnx models from the command line
- deploy wasm-based ml inference client-side

## When to choose
- you need GPU-accelerated ONNX inference in Rust without native ML framework dependencies
- you want to run ONNX models in the browser via WebAssembly and WebGPU
- you need a portable inference runtime across Vulkan, Metal, and DX12 backends

## When to avoid
- you need full ONNX opset coverage or exotic operators that GPU runtimes may not support
- you need CPU-only inference on machines without Vulkan/Metal/DX12
- you need mature production support, quantization tooling, or training capabilities

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, llm-inference, gpu-computing, cli, sdk
- domain: machine-learning, deep-learning, gpu-computing, web-development, developer-tools
- platform: rust, python, wasm, cross-platform, cli
- tags: onnx, webgpu, wgpu, inference-runtime, webassembly, neural-networks, web-server

## Member repositories
- webonnx/wonnx (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:32.002533+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:28:09.295884+00:00, confidence not recorded.
  - readme: https://github.com/webonnx/wonnx (fetched 2026-08-28T04:05:32.002533+00:00, sha 22c26a3c6ca6)
  - registry_crates: https://crates.io/api/v1/crates/wonnx (fetched 2026-08-29T11:06:10.543194+00:00, sha 198b24862e22)
- Data as of 2026-08-30T08:39:29.467469+00:00.