Netron is an application for visualizing and inspecting neural network models. It supports various frameworks, including PyTorch, ONNX, TensorFlow Lite, Keras, and more, allowing users to open model files and view their architecture as an interactive graph.
This tutorial explains how to install Netron inside a Docker container on the Linux. Commands have been tested on Ubuntu.
Prepare environment
Make sure you have installed Docker in your system. If you are using Ubuntu, installation instructions can be found in the post.
Create Docker image
Create Dockerfile
and add the following content:
FROM python:slim
RUN pip install netron
EXPOSE 8080
CMD ["netron", "--host", "0.0.0.0", "--port", "8080"]
Run command to create Docker image:
docker build -t netron .
Create Docker container
- Host network
Run the following command to create a container for Netron that uses host network:
docker run -d --name=netron --restart=always --network=host netron
- User-defined bridge network
User-defined bridge network can be used for listening on different port. By default, Netron service is listening on port 8080. It can be changed with -p
option.
docker network create app-net
docker run -d --name=netron --restart=always --network=app-net -p 8081:8080 netron
Testing Netron
Open a web browser and navigate to http://<IP_ADDRESS>:8080
, replacing <IP_ADDRESS>
with your system's actual IP address. Then load the chosen model file in Netron to explore its architecture, layers, and parameters visually.

Uninstall Netron
To completely remove Netron, remove its container:
docker rm --force netron
Remove Netron image:
docker rmi netron
If a user-defined bridge network was created, you can delete it as follows:
docker network rm app-net
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