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, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, PyTorch, TensorFlow.js, Safetensors and NumPy.

Netron has experimental support for TorchScript, torch.export, ExecuTorch, TensorFlow, OpenVINO, RKNN, ncnn, MNN, PaddlePaddle, GGUF and scikit-learn.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

netron-8.9.7-py3-none-any.whl (3.4 MB view details)

Uploaded Python 3

File details

Details for the file netron-8.9.7-py3-none-any.whl.

File metadata

  • Download URL: netron-8.9.7-py3-none-any.whl
  • Upload date:
  • Size: 3.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for netron-8.9.7-py3-none-any.whl
Algorithm Hash digest
SHA256 fcaf2d7795f7611d63b8d1e3e01360c2c41ec24bffe30582777499ab67f460db
MD5 13d2265dcbbcf68ae1fb3f163db62702
BLAKE2b-256 6f2f03f46269ccfd0928a937d2048b2626edc19141c2f52bf4dac9f9b7a7ae9b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page