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Table of Contents

1. About The Project
2. Getting Started
   • Prerequisities
   • Installation
   • Example
   • Usage
   • Options
3. Roadmap
4. Contributing
5. License
6. Contact

About The Project

compose-viz is a compose file visualization tool that follows compose-spec and allows you to gernerate graph in several formats.

If you are looking for a compose file vizualization tool, and you are using one of the compose-spec implementations (e.g. docker-compose/podman-compose), then compose-viz is a great choice for you.

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Getting Started

Prerequisities

Graphviz

You need to install Graphviz to generate graphs.

Installation

Using pip

pip install compose-viz

Using .whl

See releases.

Docker Image

See wst24365888/compose-viz.

Example

This example yml is from docker compose beginner tutorial.

cd examples/voting-app/

# using python script
cpv -m svg docker-compose.yml

# using docker image
docker run --rm -it -v $(pwd):/in wst24365888/compose-viz -m svg docker-compose.yml

# using docker image in powershell
docker run --rm -it -v ${pwd}:/in wst24365888/compose-viz -m svg docker-compose.yml

And this is what the result looks like:

Check out the result here.

Usage

cpv [OPTIONS] INPUT_PATH

Options

Option	Description
-o, --output-filename	Output filename for the generated visualization file. [default: compose-viz]
-m, --format	Output format for the generated visualization file. See supported formats. [default: png]
-r, --root-service	Root of the service tree (convenient for large compose yamls)
-v, --version	Show the version of compose-viz.
--help	Show help and exit.

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Roadmap

• Support more vizualization components.

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feat/amazing-feature)
3. Commit your Changes with Conventional Commits
4. Push to the Branch (git push origin feat/amazing-feature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE for more information.

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Contact

Author

• HSING-HAN, WU (Xyphuz)
  • Mail me: xyphuzwu@gmail.com
  • About me: https://about.xyphuz.com
  • GitHub: https://github.com/wst24365888

Project Link

• https://github.com/compose-viz/compose-viz

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