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Netron

brew install --cask netron v9.1.2

Visualize neural network, deep learning, and machine learning model architectures across 20+ formats.

Why you might care

Netron is the go-to tool for inspecting model structures, layer connections, and parameters when working with TensorFlow, PyTorch, ONNX, Core ML, and many other ML frameworks. It's free, open-source, and runs natively on macOS—essential for anyone debugging or understanding pre-trained models.

Categories

ai ml dev-tools visualization

Alternatives

TensorBoard Weights & Biases
154
30-day installs · #1098
530
90-day · #1001
2.7k
365-day · #812
33.1k
★ GitHub stars · updated 1d ago

GitHub topics

ai coreml deep-learning deeplearning keras machine-learning machinelearning ml neural-network numpy onnx pytorch safetensors tensorflow tensorflow-lite visualizer

Links

Blurb generated by claude-haiku-4-5 on today.

Raw metadata 
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    "Weights \u0026 Biases"
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  "categories": [
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  "deprecation_reason": null,
  "desc": "Visualiser for neural network, deep learning, and machine learning models",
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  "display_name": "Netron",
  "enrichment_fetched_at": "2026-06-20T22:47:22+00:00",
  "first_seen": "2026-06-20T00:47:34+00:00",
  "full_token": "netron",
  "github_default_branch": "main",
  "github_last_commit_at": "2026-06-19T17:34:27Z",
  "github_readme_excerpt": "\u003cdiv align=\"center\"\u003e\n\u003cimg width=\"400px\" height=\"100px\" src=\"https://github.com/lutzroeder/netron/raw/main/.github/logo-light.svg#gh-light-mode-only\"\u003e\n\u003cimg width=\"400px\" height=\"100px\" src=\"https://github.com/lutzroeder/netron/raw/main/.github/logo-dark.svg#gh-dark-mode-only\"\u003e\n\u003c/div\u003e\n\nNetron is a viewer for neural network, deep learning and machine learning models.\n\nNetron supports ONNX, TensorFlow Lite, PyTorch, torch.export, ExecuTorch, TorchScript, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors and NumPy.\n\nNetron has experimental support for MLIR, JAX, GGUF, RKNN, ncnn, MNN, PaddlePaddle and scikit-learn.\n\n\u003cp align=\u0027center\u0027\u003e\u003ca href=\u0027https://www.lutzroeder.com/ai\u0027\u003e\u003cimg src=\u0027.github/screenshot.png\u0027 width=\u0027800\u0027\u003e\u003c/a\u003e\u003c/p\u003e\n\n## Install\n\n**Browser**: [**Start**](https://netron.app) the browser version.\n\n**macOS**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.dmg` file or run `brew install --cask netron`.\n\n**Linux**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.deb` or `.rpm` file.\n\n**Windows**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.exe` installer or run `winget install -s winget netron`.\n\n**Python**: `pip install netron`, then run `netron [FILE]` or `netron.start(\u0027[FILE]\u0027)`.\n\n## Models\n\nSample model files to download or open using the browser version:\n\n * **ONNX**: [squeezenet](https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx) [[open](https://netron.app?url=https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx)]\n * **TorchScript**: [traced_online_pred_layer](https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt) [[open](https://netron.app?url=https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt)]\n * **TensorFlow Lite**: [yamnet](https://huggingface.co/",
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  "version": "9.1.2",
  "why_use_this": "Netron is the go-to tool for inspecting model structures, layer connections, and parameters when working with TensorFlow, PyTorch, ONNX, Core ML, and many other ML frameworks. It\u0027s free, open-source, and runs natively on macOS\u2014essential for anyone debugging or understanding pre-trained models."
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