
Netron
Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.

About Netron
Netron is a viewer for neural network, deep learning and machine learning models. It supports ONNX, TensorFlow Lite, PyTorch, torch.export, ExecuTorch, TorchScript, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors and NumPy.
Support for MLIR, JAX, GGUF, RKNN, ncnn, MNN, PaddlePaddle and scikit-learn is experimental. It can be run in a browser, installed on macOS, Linux and Windows, or started from Python.
Key features
- Displays neural network, deep learning and machine learning models
- Supports ONNX, TensorFlow Lite, PyTorch, TorchScript and TensorFlow
- Supports Core ML, OpenVINO, Keras, Caffe and Darknet
- Supports Safetensors, NumPy, torch.export and ExecuTorch
- Runs on macOS, Linux, Windows, browser and Python
- Experimental support for MLIR, JAX, GGUF and scikit-learn
- Supports ONNX, TensorFlow, PyTorch and other listed formats
- Available for macOS, Linux, Windows, browser and Python
- Open source under MIT license
- Support for MLIR, JAX, GGUF, RKNN, ncnn, MNN, PaddlePaddle and scikit-learn is experimental
Netron at a glance
- Website
- github.com/lutzroeder/netron
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Linux, macOS, Windows
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
Netron alternatives
Tools and sites you could use instead, ranked by how closely they match.
ONNX-Scala provides an API and backend for deep and classical machine learning in Scala.
Visualizer for neural network, deep learning and machine learning models.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
crystal-fann provides Crystal language bindings for the FANN artificial neural network library.
The fastai deep learning library includes documentation and setup guidance, including instructions for use with Google Colab.
Kinho’s Neural repository provides an API for deep learning and feedforward neural network models.
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Netron FAQ
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How do I open a model with Python?
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