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Netron

Visualizer for neural network and machine learning models.

github.com/lutzroeder/netron

GitHub stats

GitHub stars
33,546
Forks
3,184
Open issues
16
Commits, last 12 months
849
Last commit
Oct 5, 2026
Latest release
v9.3.1Oct 2, 2026
Created
Dec 26, 2010

Data from the GitHub API, refreshed daily.

About Netron

Visualizer for neural network and machine learning models. Netron is open source under the MIT license and written mainly in JavaScript, so you can read the code, run it on your own hardware and keep full control of your data.

The project has 33,546 stars and 3,184 forks on GitHub, with 849 commits over the last year. It installs natively rather than through an official Docker image, so plan for a short manual setup.

Topics

  • neural-network
  • deep-learning
  • machine-learning
  • deeplearning
  • machinelearning
  • ai
  • ml
  • visualizer
  • onnx
  • keras

Repository preview

Netron repository previewlutzroeder/netronOpen repository

FAQ

Netron FAQ

Still curious? Email info@appsgit.com.

What is Netron?

Netron is a free, open-source app you can host on your own server, listed in our Analytics category. Visualizer for neural network and machine learning models. The source code lives at github.com/lutzroeder/netron, where it has 33,546 stars.

Is Netron free and open source?

Yes. Netron is open-source software released under the MIT license, so you can self-host it at no cost. You only pay for the server it runs on, and some projects also offer an optional paid cloud plan.

Can I run Netron with Docker?

Netron does not list an official Docker image. It installs natively (Python and Nodejs), so follow the install steps in its README or look for a community-maintained container.

What are the best alternatives to Netron?

Popular open-source alternatives to Netron include Superset, Metabase and PostHog.

Is Netron actively maintained?

The most recent commit to Netron was on Oct 5, 2026 with 849 commits in the past twelve months. The latest release is v9.3.1, published Oct 2, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.