netron and keras-vis
One is a standalone model viewer capable of inspecting models from various frameworks (A), while the other is a Keras-specific visualization toolkit primarily used for generating insights *from* and *within* Keras models (B), making them complementary for Keras users who might use B to analyze their models and A to view and share them.
About netron
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
Supports 20+ model formats across major frameworks (ONNX, PyTorch, TensorFlow, Core ML, GGUF, Safetensors, and more), enabling unified inspection of architectures and layer details. Available as a web app, native desktop client (macOS/Linux/Windows), or Python CLI for seamless integration into development workflows. Parses and renders computational graphs with interactive visualization of operator properties, tensor shapes, and model structure.
About keras-vis
raghakot/keras-vis
Neural network visualization toolkit for keras
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