Project Title

netron — Visualizer for Neural Network, Deep Learning, and Machine Learning Models

Overview

Netron is a versatile and powerful viewer for neural network, deep learning, and machine learning models. It supports a wide range of model formats, including ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, PyTorch, TensorFlow.js, and more. Netron's unique selling point is its ability to visualize and explore complex models in an intuitive and user-friendly interface, making it an essential tool for developers and researchers in the field of AI and machine learning.

Key Features

Supports multiple model formats: ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, PyTorch, TensorFlow.js, and more.
Experimental support for additional formats: TorchScript, torch.export, ExecuTorch, TensorFlow, OpenVINO, RKNN, ncnn, MNN, PaddlePaddle, GGUF, and scikit-learn.
Intuitive user interface for visualizing and exploring complex models.
Available as a standalone application for macOS, Linux, and Windows, as well as a browser version and a Python package.

Use Cases

Machine learning engineers and data scientists use Netron to visualize and understand complex neural network models.
Researchers in AI and deep learning use Netron to explore and analyze different model architectures.
Educators and students use Netron to teach and learn about neural networks and machine learning models.

Advantages

Supports a wide range of model formats, making it a versatile tool for different use cases.
Intuitive user interface simplifies the process of visualizing and exploring complex models.
Available on multiple platforms, including standalone applications and a browser version, increasing accessibility.

Limitations / Considerations

Some model formats are only supported experimentally, which may limit their functionality or stability.
As an open-source project, the availability of support and updates depends on the community and the project maintainers.

TensorBoard: A visualization tool for TensorFlow models, offering a range of features for monitoring and analyzing model performance. Unlike Netron, TensorBoard is specifically designed for TensorFlow and has a more limited scope.
ModelDB: A platform for managing, comparing, and visualizing machine learning models. ModelDB offers a more comprehensive approach to model management but may not be as focused on visualization as Netron.

Basic Information

GitHub: https://github.com/lutzroeder/netron
Stars: 31,220
License: Unknown
Last Commit: 2025-08-20

📊 Project Information

Project Name: netron
GitHub URL: https://github.com/lutzroeder/netron
Programming Language: JavaScript
⭐ Stars: 31,220
🍴 Forks: 2,972
📅 Created: 2010-12-26
🔄 Last Updated: 2025-08-20

🏷️ Project Topics

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🎮 Online Demos

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netron

Project Description