lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
This tool helps machine learning engineers and researchers visualize the architecture of their neural network, deep learning, and machine learning models. You input a trained model file (like ONNX, TensorFlow Lite, or PyTorch) and it outputs an interactive diagram showing the layers and connections within the model. It's designed for anyone working directly with model development and architecture.
32,573 stars. Actively maintained with 84 commits in the last 30 days.
Use this if you need to understand, debug, or present the internal structure of a machine learning model.
Not ideal if you are looking for a tool to train models, evaluate performance, or deploy models to production.
Stars
32,573
Forks
3,093
Language
JavaScript
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
84
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