{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/17"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/9"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/8"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/20"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/3"},{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"}],"enrichment":{"capability":"Netron is a viewer for neural network and machine learning models that supports ONNX, TensorFlow Lite, PyTorch, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors, NumPy, and several other formats.","skillfed_tags":["model-visualization","neural-networks","ml-debugging"],"use_cases":["Inspect ONNX model architecture and layer details during model development or debugging","Visualize PyTorch or TensorFlow model graphs to understand data flow and layer connections","Examine pre-trained models from model zoos to understand their structure before fine-tuning","Compare model architectures across different frameworks or versions","Explore Keras or TensorFlow Lite models for mobile or edge deployment planning","Validate Core ML or OpenVINO models before deployment on target platforms"],"what_it_does":"Netron is a standalone viewer for inspecting and visualizing neural network and machine learning model architectures. It supports a wide range of model formats spanning multiple frameworks\u2014ONNX, TensorFlow, PyTorch, Keras, Core ML, OpenVINO, and others\u2014making it useful for developers and researchers who need to understand model structure, layer composition, and data flow without running inference.\n\nThe package can be used as a command-line tool (run `netron [FILE]` after installation), accessed through a browser at netron.app, or called programmatically via Python. It has no runtime dependencies, making installation and use lightweight. The project is actively maintained and widely used, as evidenced by its popularity and recent releases.","worth_installing":"Yes. Netron is a lightweight, actively maintained, dependency-free viewer for a broad range of ML model formats. It solves a genuine need for developers and researchers who need to inspect model structure without writing code. The MIT license is permissive, there are no known vulnerabilities, and the tool is widely adopted. Install it if you work with neural networks or machine learning models in any of the supported formats."},"id":"netron","links":{"html":"https://skillfed.io/packages/netron","md":"https://skillfed.io/packages/netron.md","pypi":"https://pypi.org/project/netron/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"permissive","name":"netron","python_support":"unspecified","summary":"Viewer for neural network, deep learning and machine learning models."},"popularity":{"monthly_downloads":98557,"position":13074,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"9.2.2"}