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-9.0.2-py3-none-any.whl (3.5 MB view details)

Uploaded Python 3

File details

Details for the file netron-9.0.2-py3-none-any.whl.

File metadata

  • Download URL: netron-9.0.2-py3-none-any.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for netron-9.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 df4f03e8ba5e0880abf0b1a0045f5c0e32474dc81d5b3486fe5e4874baf2df65
MD5 ff4cebede569af183755185642239976
BLAKE2b-256 24a13dd12d0f6f58048cf5c5b4a2ab7693675ce8a378a1b9d7645e5ab9912516

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