Skip to main content

Viewer for neural network, deep learning and machine learning models

Project description

Netron is a viewer for neural network, deep learning and machine learning models.

Netron supports ONNX (.onnx, .pb), Keras (.h5, .keras), Core ML (.mlmodel), Caffe (.caffemodel, .prototxt), Caffe2 (predict_net.pb), Darknet (.cfg), MXNet (.model, -symbol.json), ncnn (.param) and TensorFlow Lite (.tflite). Netron has experimental support for TorchScript (.pt, .pth), PyTorch (.pt, .pth), Torch (.t7), ArmNN (.armnn), BigDL (.bigdl, .model), Chainer (.npz, .h5), CNTK (.model, .cntk), Deeplearning4j (.zip), PaddlePaddle (__model__), MediaPipe (.pbtxt), ML.NET (.zip), MNN (.mnn), OpenVINO (.xml), scikit-learn (.pkl), Tengine (.tmfile), TensorFlow.js (model.json, .pb) and TensorFlow (.pb, .meta, .pbtxt, .ckpt, .index).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for netron, version 4.0.0
Filename, size File type Python version Upload date Hashes
Filename, size netron-4.0.0-py2.py3-none-any.whl (1.3 MB) File type Wheel Python version py2.py3 Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page