Netron
A viewer that draws neural network, deep learning and machine learning model files as graphs.
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About Netron
Netron opens a trained model file and shows its structure as a graph of layers and operations. You can click a node to inspect its properties, inputs and outputs. It suits developers and researchers who need to check what is inside a model before converting, debugging or deploying it.
It runs in the browser at netron.app. You open a local model file without writing any code. The source is published on GitHub.
Strengths
- Opens model files straight in the browser
- Shows layers and operations as a readable graph
- Lets you inspect the properties of each node
- No code needed to look inside a model
Limitations
- A viewer only, with no editing or training
- Less useful for very large graphs
Details
- Pricing
- FreeFree to use in the browser, with source code on GitHub.
- License
- MIT
- Developer
- Lutz Roeder
- Platforms
- Web
- How it runs
- Web application
- Account
- Not required
- Best suited for
- Checking the structure of a machine learning model file
- Categories
- AI developer tools
- Last verified
- Added
- Sources
Alternatives to Netron
Compare allSoftware that can replace Netron for an important use case, and what changes if you switch.
TensorBoard
A visualization toolkit for inspecting machine learning training runs, metrics and model graphs.
TensorBoard shows model graphs visually and runs locally without an account, but it is oriented toward TensorFlow workflows and adds training metrics charts rather than opening arbitrary model files.
Similar software
Related functionality, not necessarily a direct replacement.
Hugging Face Hub
A web platform for hosting, finding and sharing machine learning models, datasets and demo apps.
MLflow
An open-source platform for tracing, evaluating and managing LLM applications, agents and machine learning models.
Weights & Biases
A hosted platform for tracking machine learning experiments, evaluating models and tracing LLM applications.
