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Netron

Visualizer for neural network and machine learning models

Web Analytics ★ 33.6k stars Medium setup MIT

Netron is a viewer for neural network model files such as ONNX, TensorFlow Lite, Core ML and PyTorch. It targets ML engineers who need to inspect model graphs and layer parameters. It is deployed as a browser app, Docker image or desktop app.

Official siteSource code

Key features

  • Supports ONNX, TFLite, CoreML
  • Interactive graph rendering
  • Layer property inspection
  • Browser and desktop versions

Pros & cons

Strengths

  • Supports many formats
  • Runs in browser
  • Simple drag-and-drop

Trade-offs

  • Viewer only
  • Large models render slowly

Is Netron secure?

No known vulnerabilities affect Netron's latest release (v9.3.1). OSV.dev lists 3 past advisories for the project; none of them applies to this release. No known vulnerabilities is not proof of security: it means none have been publicly catalogued.

  • Most recent fixed advisory CVE-2026-79718, published 2026-08-27 (48 days ago)

Source: OSV.dev, checked 2026-10-14. How this is measured.

Health badge

Maintain Netron? Add its health score to your README. The badge links back to this page.

SelfHostIndex: 99 · excellent

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   :alt: SelfHostIndex health score for Netron
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The score is recomputed on every nightly rebuild from public repository data — see how it is calculated.

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