netron
Visualizer for neural network, deep learning and machine learning models
Health
44/100
Self-hosts from
$5.12/mo
on linode Nanode 1GB
Difficulty
2/5
Stars
32.8k
Health score breakdown
6-dimension composite. Methodology.
| activity | 82 | |
| maturity | 30 | |
| community | 15 | |
| security | 70 | |
| sustainability | 13 | |
| adoption | 41 |
Self-hosting cost
| Provider | Plan | Specs | Monthly |
|---|---|---|---|
| linode | Nanode 1GB | 1c / 1GB / 25GB | $5.12 USD |
What people say
From Hacker News & Reddit, last 12 months.
- Netron – neural network visualizer and inspector · 3 pts · 0 comments
- Printed neurons communicate with living brain cells · 2 pts · 0 comments
- Show HN: Count Me In, a metronome that counts numbers for you · 2 pts · 0 comments
About netron
<div align="center">
<img width="400px" height="100px" src="https://github.com/lutzroeder/netron/raw/main/.github/logo-light.svg#gh-light-mode-only">
<img width="400px" height="100px" src="https://github.com/lutzroeder/netron/raw/main/.github/logo-dark.svg#gh-dark-mode-only">
</div>
Netron is a viewer for neural network, deep learning and machine learning models.
Netron supports ONNX, TensorFlow Lite, PyTorch, torch.export, ExecuTorch, Core ML, Keras, Caffe, Darknet, TensorFlow.js, Safetensors and NumPy.
Netron has experimental support for TorchScript, MLIR, TensorFlow, OpenVINO, RKNN, ncnn, MNN, PaddlePaddle, GGUF and scikit-learn.
<p align='center'><a href='https://www.lutzroeder.com/ai'><img src='.github/screenshot.png' width='800'></a></p>
## Install
**Browser**: [**Start**](https://netron.app) the browser version.
**macOS**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.dmg` file or run `brew install --cask netron`.
**Linux**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.deb` or `.rpm` file.
**Windows**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.exe` installer or run `winget install -s winget netron`.
**Python**: `pip install netron`, then run `netron [FILE]` or `netron.start('[FILE]')`.
## Models
Sample model files to download or open using the browser version:
* **ONNX**: [squeezenet](https://github.com/onnx/models/raw/main/validated/vision/classification/squeezene Excerpt from the project's README. View full source on GitHub.