netron

Overview

Netron is a viewer for neural network and machine learning models that visualizes model architecture and parameters in an interactive graph format. It supports dozens of model formats including ONNX, TensorFlow, PyTorch, and Keras, allowing developers to inspect model structure without running inference.

Best for

Best for
ML engineers and researchers who need to quickly inspect and understand model architectures across different frameworks

Use cases

• Debugging model architecture before training or deployment
• Understanding pre-trained model structure and layer connections
• Sharing model designs with team members for review

Notes

Netron is a viewer for neural network and machine learning models that visualizes model architecture and parameters in an interactive graph format. It supports dozens of model formats including ONNX, TensorFlow, PyTorch, and Keras, allowing developers to inspect model structure without running inference.

33,013 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Debugging model architecture before training or deployment
• Understanding pre-trained model structure and layer connections
• Sharing model designs with team members for review

Pros

• Supports 40+ model formats across frameworks
• Works offline with no dependencies or account required
• Interactive visualization with layer inspection and parameter viewing

Cons

• Read-only viewer, cannot modify or edit models
• Performance degrades with very large models (100+ layers)
• Limited to visualization, does not provide training or inference capabilities

Indexed from awesome-llmops and enriched against its public facts.