GraphCanon updated 3w · GitHub synced 3w
Decision brief
Netron is an open-source visualizer for neural networks with support across multiple frameworks including TensorFlow, PyTorch, and ONNX.
Good fit when
- When you need to visualize models from various deep learning frameworks like TensorFlow, PyTorch, or ONNX in a single tool
- For developers preferring JavaScript-based solutions for viewing machine learning model architectures
Avoid when
- In environments where access to the web is restricted and no offline capability of Netron can be utilized
- When specific advanced visualization features are required that may not be supported by Netron yet implemented in a competitor's tool
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (33,302) are secondary evidence.
- npm downloads (30d)
- 112·npm downloads API·3w
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- 2 low (2 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install netronSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Netron is an open source visualizer to view neural networks, which supports multiple frameworks like TensorFlow, PyTorch, ONNX, and more.
Capability facts
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Aug 3, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 3, 2026
- Languages
- javascript, python
Source: github.language+package.json+pyproject.toml · Aug 3, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 3, 2026)
**Python**: `pip install netron`, then run `netron [FILE]` or `netron.start('[FILE]')`.Source link
Tags
README
Install
Browser: Start the browser version.
macOS: Download the .dmg file or run brew install --cask netron.
Linux: Download the .deb or .rpm file.
Windows: Download the .exe installer or run winget install -s winget netron.
Python: pip install netron, then run netron [FILE] or netron.start('[FILE]').
For agents
This page has a .md twin and JSON over the API.