{"data":{"slug":"lutzroeder-netron","name":"netron","tagline":"Visualizer for neural network, deep learning and machine learning models","github_url":"https://github.com/lutzroeder/netron","owner":"lutzroeder","repo":"netron","owner_avatar_url":"https://avatars.githubusercontent.com/u/438516?v=4","primary_language":"JavaScript","stars":33302,"forks":3175,"topics":["ai","coreml","deep-learning","deeplearning","keras","machine-learning","machinelearning","ml","neural-network","numpy","onnx","pytorch","safetensors","tensorflow","tensorflow-lite","visualizer"],"archived":false,"github_pushed_at":"2026-08-02T16:49:54+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/lutzroeder-netron","markdown_url":"https://www.graphcanon.com/tools/lutzroeder-netron.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lutzroeder-netron","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lutzroeder-netron","description":"Visualizer for neural network, deep learning and machine learning models","homepage_url":"https://netron.app","license":"MIT","open_issues":18,"watchers":321,"ai_summary":"Netron is an open source visualizer to view neural networks, which supports multiple frameworks like TensorFlow, PyTorch, ONNX, and more.","readme_excerpt":"## Install\n\n**Browser**: [**Start**](https://netron.app) the browser version.\n\n**macOS**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.dmg` file or run `brew install --cask netron`.\n\n**Linux**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.deb` or `.rpm` file.\n\n**Windows**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.exe` installer or run `winget install -s winget netron`.\n\n**Python**: `pip install netron`, then run `netron [FILE]` or `netron.start('[FILE]')`.","github_created_at":"2010-12-26T12:53:43+00:00","created_at":"2026-07-11T23:26:19.611766+00:00","updated_at":"2026-08-03T12:01:39.93823+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"coreml","name":"coreml"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"deeplearning","name":"deeplearning"},{"slug":"keras","name":"keras"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"ml","name":"ml"},{"slug":"neural-network","name":"neural-network"}],"trust":{"provenance":{"is_fork":false,"github_id":1198539,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-03T12:01:38.888Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":5,"days_since_push":0,"last_release_at":"2026-07-31T18:06:45Z"},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":2,"high_count":0,"last_scan_at":"2026-07-11T23:26:22.015Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-08-03T12:01:39.382Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-08-03T12:01:39.382Z"},"has_cli":{"value":true,"source":"package.json:bin|scripts","observed_at":"2026-08-03T12:01:39.382Z"},"languages":{"value":["javascript","python"],"source":"github.language+package.json+pyproject.toml","observed_at":"2026-08-03T12:01:39.382Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-03T12:01:39.382Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["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"],"when_not_to_use":["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"],"source":"enrich:decision_facts","observed_at":"2026-07-17T04:20:11.812Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Netron is an open-source visualizer for neural networks with support across multiple frameworks including TensorFlow, PyTorch, and ONNX."}]}}