@DanKornas: Need to inspect a model file before wiring it into your stack? Netron is a visualizer for neural network, deep learning…
Summary
Netron is an open-source visualizer for neural network, deep learning, and machine learning model files, supporting formats like ONNX, PyTorch, TensorFlow, and more via browser, desktop, or Python.
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Cached at: 07/31/26, 09:02 PM
Need to inspect a model file before wiring it into your stack?
Netron is a visualizer for neural network, deep learning, and machine learning models for engineers inspecting model files.
It helps you inspect supported model formats through a browser version, desktop downloads, or a Python package.
Key features: • Broad format support – supports ONNX, TensorFlow Lite, PyTorch, TorchScript, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors, and NumPy • PyTorch coverage – includes torch.export and ExecuTorch alongside PyTorch and TorchScript • Experimental formats – lists MLIR, JAX, GGUF, RKNN, ncnn, MNN, PaddlePaddle, and scikit-learn support • Cross-platform access – provides browser, macOS, Linux, and Windows options • Python access – install with pip, then open a file with netron [FILE] or netron.start(‘[FILE]’)
It’s open-source (MIT license).
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