About netron
Visualizer for neural network, deep learning and machine learning models
Netron is an open-source visualizer for neural network, deep learning, and machine learning models, designed to demystify complex architectures. It supports a wide range of formats including TensorFlow, PyTorch, Keras, ONNX, CoreML, and Safetensors, making it a universal tool for AI developers. By providing an interactive, graphical representation of model layers, connections, and parameters, Netron helps users quickly understand, debug, and document their models without writing code. Its unique value lies in its ability to run directly in the browser via JavaScript or as a desktop application, offering seamless integration and accessibility. As a free, GitHub-hosted project, it fosters collaboration and transparency in the AI community, enhancing productivity and reducing development time for both beginners and experts.
Common Use Cases
- Visualize and debug neural network architectures from frameworks like TensorFlow and PyTorch to identify layer errors.
- Document machine learning models by generating clear graphical representations for team presentations and reports.
- Compare different model formats such as ONNX and CoreML to ensure compatibility and optimize deployment.
- Educate students and beginners in AI by interactively exploring model structures without coding expertise.
- Inspect model parameters and metadata in saved files like Safetensors to verify integrity and performance.
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Key Features
- JavaScript
- Open Source
- GitHub Hosted
How to Get Started
Usage Statistics
Active Users
32,695
API Calls
3,097,000
Additional Information
Category
Code Assistant
Pricing
Free
Last Updated
4/3/2026
