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, PyTorch, torch.export, ExecuTorch, TorchScript, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors and NumPy.

Netron has experimental support for MLIR, JAX, GGUF, RKNN, ncnn, MNN, PaddlePaddle 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-9.1.8-py3-none-any.whl (3.6 MB view details)

Uploaded Python 3

File details

Details for the file netron-9.1.8-py3-none-any.whl.

File metadata

  • Download URL: netron-9.1.8-py3-none-any.whl
  • Upload date:
  • Size: 3.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for netron-9.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 c934af9dc01624aacf5636ba4ba6ac29e22051f7c6eaddb2c108a24326784df8
MD5 0fc29c9c64d2be145696c8b53024a247
BLAKE2b-256 bf8f375419608cb535db9016e1296c958f99c3d0decc13e570058d5ee90d424d

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