[P] mlx-onnx: Run your MLX models in the browser using ONNX / WebGPU

Web Demo: https://skryl.github.io/mlx-ruby/demo/

Repo: https://github.com/skryl/mlx-onnx

What My Project Does

It allows you to convert MLX models into ONNX (onnxruntime, validation, downstream deployment). You can then run the onnx models in the browser using WebGPU.

• Exports MLX callables directly to ONNX
• Supports both Python and native C++ interfaces

Target Audience

• Developers who want to run MLX-defined computations in ONNX tooling (e.g. ORT, WebGPU)
• Early adopters and contributors; this is usable and actively tested, but still evolving rapidly (not claiming fully mature “drop-in production for every model” yet)

Comparison

• vs staying MLX-only: keeps your authoring flow in MLX while giving an ONNX export path for broader runtime/tool compatibility.
• vs raw ONNX authoring: mlx-onnx avoids hand-building ONNX graphs by tracing/lowering from MLX computations.