Netron
A visualizer for neural network, deep learning, and machine learning models across multiple frameworks.
What is Netron?
Netron is a viewer for neural network, deep learning, and machine learning models. It loads models from various file formats and displays them as interactive graphs, showing the network architecture, layer types, and connections. This helps developers and researchers understand, debug, and document their models without writing code.
Machine learning engineers, researchers, and data scientists who work with neural networks and need to inspect or share model architectures across different frameworks.
Netron stands out by supporting a wide range of model formats in one tool, offering both browser-based and desktop applications for flexibility, and providing an intuitive visual interface that simplifies complex model analysis.
Overview
Visualizer for neural network, deep learning and machine learning models
Use Cases
Best For
- Inspecting the architecture of a trained ONNX or PyTorch model
- Debugging layer connections and parameters in TensorFlow Lite models
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
