usage: docker-network-graph.py [-h] [-v] [-o OUT] [-u]
Visualize docker networks.
optional arguments:
-h, --help         Show this help message and exit
-v, --verbose      Verbose output
-o OUT, --out OUT  Write output to file [not supported by container]
-u, --url          Generate link for GraphvizOnline

Docker Network Graph

Visualize the relationship between Docker networks and containers as a neat graphviz graph.

This repository fork e-dant/docker-network-graph Changes:

• Improved design
• Added the ability to generate url
• Added display of connections with the host
• Visualization of ports
• Github package

Example

Usage

usage: docker-network-graph.py [-h] [-v] [-o OUT] [-u]
Visualize docker networks.
optional arguments:
-h, --help         Show this help message and exit
-v, --verbose      Verbose output
-o OUT, --out OUT  Write output to file [not supported by container]
-u, --url          Generate link for GraphvizOnline

Running inside docker

If you want to generate a graph for a remote system you can also easily run this script inside a pre-built docker container:

docker run --rm -v /var/run/docker.sock:/var/run/docker.sock ghcr.io/muratovas/docker-network-graph:latest -u

For more advanced use cases you can append arguments to the docker run command as if you were running it in a local shell.

Running local

In most cases what you want to run are the following couple commands:

git clone https://github.com/muratovas/docker-network-graph.git
cd docker-network-graph
pipenv install
pipenv run python docker-network-graph.py -o output.svg

This will generate an .svg file containing the graph.

This will just generate and output the graph in the [DOT Language][dot]. You can then paste that code into [GraphvizOnline][gvonline] to render it. The recommended rendering engine is fdp.

Alternatively, if you prefer to render locally, you can run fdp -Tpng -o out.png on a system with graphviz installed, paste the previous output there, press enter and finally CTRL+C to generate the file.

Development

If you’d like to contribute to this project, there is a sample docker-compose file using dummy containers in test.

You can deploy it using

docker-compose -f docker-compose.yml up -d

Credit

dot lang

gvonline