# Docker Network Graph Visualize the relationship between Docker networks and containers as a neat graphviz graph. This repository fork [MuratovAS/docker-network-graph](https://github.com/MuratovAS/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 ![example graph](./example.svg) ## Usage ```bash 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: ```bash build container docker build . -t code.brothertec.eu/simono41/docker-network-graph:latest and create a PNG docker run --rm -v /var/run/docker.sock:/var/run/docker.sock code.brothertec.eu/simono41/docker-network-graph:latest | dot -Tpng -o out.png or as SVG docker run --rm -v /var/run/docker.sock:/var/run/docker.sock code.brothertec.eu/simono41/docker-network-graph:latest | dot -Tsvg -o out.svg ``` 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: ```bash git clone https://code.brothertec.eu/simono41/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 ```bash docker-compose -f docker-compose.yml up -d ``` ## Credit [dot lang](https://www.graphviz.org/doc/info/lang.html) [gvonline](https://dreampuf.github.io/GraphvizOnline/)