Netron

Visualizer for neural network and machine learning models.

Thriving · 82
82/100
Thriving

High commit volume, frequent releases and growing activity.

Maintenance 31/40
Releases 25/25
Community 18/20
Momentum 8/15

Commit activity more than 77% of tracked projects; popularity more than 92%. How this is calculated.

Commits, last 11 months

2025-10: 85 commits 2025-11: 93 commits 2025-12: 89 commits 2026-01: 97 commits 2026-02: 103 commits 2026-03: 92 commits 2026-04: 58 commits 2026-05: 68 commits 2026-06: 61 commits 2026-07: 61 commits 2026-08: 56 commits
2025-10 863 total 2026-08
Stars34k
Latest releasev9.3.0 · 25 Sept 2026
Repo updated27 Sept 2026
LicenceMIT
Built withPython, Nodejs

Is Netron actively maintained?

Development is ongoing. The repository recorded 863 commits over the same window, and the last three months alone account for 178 of them.

The most recent tagged release, v9.3.0, shipped within the last month — a current, installable version exists today.

Netron ranks #10 of 33 in Analytics, placing it mid-table for maintenance activity.

What Netron actually does

Netron is a graphical tool used to inspect and visualise neural network and machine learning model architectures. It parses file formats from various machine learning frameworks to render a node-based diagram of the computational graph. This helps you understand the structure, layers, and tensor shapes of a given model file.

Best fit: Machine learning engineers and researchers who need to debug, audit, or present model architectures without writing custom parsing scripts.

Worth knowing: It is primarily a visualisation utility rather than an end-to-end training platform or model repository, so you will need to pair it with other tools for actual model management.

Deployment notes

As an application built with Python and Node.js, it typically requires a standard runtime environment and a reverse proxy if you intend to expose the interface securely over the web with TLS.


Netron as a replacement for


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