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A compose file visualization tool that supports compose-spec and allows you to gernerate graph in several formats.

Project description


compose-viz


Table of Contents
  1. About The Project
  2. Getting Started
  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.

Example

This example yml is from docker compose beginner tutorial.

cd examples/voting-app/
cpv -m svg docker-compose.yml

And this is what the result looks like:

compose-viz.svg

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]
-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

Project Link

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