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🟩⬜ Generates a snake game from a github user contributions graph and output a screen capture as animated svg or gif

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Platane/snk

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snk

GitHub Workflow Status GitHub release GitHub marketplace type definitions code style

Generates a snake game from a github user contributions graph

github contribution grid snake animation

Pull a github user's contribution graph. Make it a snake Game, generate a snake path where the cells get eaten in an orderly fashion.

Generate a gif or svg image.

Available as github action. It can automatically generate a new image each day. Which makes for great github profile readme

Usage

github action

- uses: Platane/snk@v3
  with:
    # github user name to read the contribution graph from (**required**)
    # using action context var `github.repository_owner` or specified user
    github_user_name: ${{ github.repository_owner }}

    # list of files to generate.
    # one file per line. Each output can be customized with options as query string.
    #
    #  supported options:
    #  - palette:     A preset of color, one of [github, github-dark, github-light]
    #  - color_snake: Color of the snake
    #  - color_dots:  Coma separated list of dots color.
    #                 The first one is 0 contribution, then it goes from the low contribution to the highest.
    #                 Exactly 5 colors are expected.
    outputs: |
      dist/github-snake.svg
      dist/github-snake-dark.svg?palette=github-dark
      dist/ocean.gif?color_snake=orange&color_dots=#bfd6f6,#8dbdff,#64a1f4,#4b91f1,#3c7dd9

example with cron job

If you are only interested in generating a svg, consider using this faster action: uses: Platane/snk/svg-only@v3

dark mode

For dark mode support on github, use this special syntax in your readme.

<picture>
  <source media="(prefers-color-scheme: dark)" srcset="github-snake-dark.svg" />
  <source media="(prefers-color-scheme: light)" srcset="github-snake.svg" />
  <img alt="github-snake" src="github-snake.svg" />
</picture>

interactive demo

platane.github.io/snk

local

npm install

npm run dev:demo

Implementation

solver algorithm