#cli #terminal #graphics #image #cgi

bin+lib mgart

Machine Generated Art. CLI app for generating algorithmic art

2 releases

0.0.2 Apr 24, 2023
0.0.1 Oct 28, 2022

#94 in Graphics APIs

MIT license




Build Status Codecov Latest Version Downloads Library Docs License: MIT Contributor Covenant

Machine Generated Art, short Mgart and pronounced "em-gart" is a rust crate and CLI application for generating algorithmic art.

Table of Contents



Note that you need to have the rust toolchain installed on your computer if you want to install Mgart using cargo.

Mgart is distributed via crates.io and can be installed with:

cargo install mgart

If you'd like to install a specific version of Mgart, use the --version flag:

cargo install --version $VERSION

If you have an old version of Mgart already installed and wish to update it to the newest version, use the --force flag:

cargo install --force mgart

Check that Mgart is successfully installed by running:

mgart -V

This should print mgart, followed by the version you have installed.

From Source

For development or if you would like to work with the latest, unstable version, you can install Mgart from source. Note that you need to have the rust toolchain installed on your computer, if you want to build Mgart from source.

First, clone the Mgart repository and enter it:

git clone https://github.com/jofas/mgart && cd mgart

If you want to work inside this directory, potentially because you wish to contribute to Mgart, you can execute the CLI application like this:

cargo run --release -- $FILE

$FILE being the path to the file containing your algorithms (see the Example section). Note that adding the --release flag to the command significantly enhances the execution speed.

You can also install Mgart from source, rather than just working from the source directory. Do so by running the following command in the Mgart source directory:

cargo install --path .

This will compile Mgart and make the program available for your user to execute directly from the command line. Check installation by running:

mgart -V


If you run mgart -h, you will find that Mgart takes a single file as input argument. The content of the file contains the configuration for the art pieces you wish to generate. Currently, Mgart supports Json and Jsonnet input files. The input file contains an array of algorithm objects where each one describes an artwork you would like to create. This is an example Json file that would generate a single artwork, a rendering of a buddhabrot:

      "algorithm": "buddhabrot",
      "filename": "buddhabrot_20000.png",
      "width": 3800,
      "height": 2000,
      "center": {
         "im": -0.35,
         "re": 0
      "zoom": 0.45,
      "exponent": 2,
      "iter": 20000,
      "rotation": 90,
      "sample_count": 500000000,
      "sampler": {
         "r": 3,
         "type": "uniform_polar"
      "post_processing": [
            "process": "normalize"
            "bin_count": 256,
            "contrast_limit": 500,
            "process": "clahe",
            "tile_size_x": 380,
            "tile_size_y": 200
            "h": 0.0005,
            "n": 7,
            "process": "smoothing",
            "type": "non_local_means",
            "window_size": 21
      "color_map": {
         "gradient": {
            "factor": 1,
            "type": "linear"
         "map": [
               "b": 0,
               "g": 0,
               "r": 0,
               "type": "rgb"
               "b": 255,
               "g": 255,
               "r": 255,
               "type": "rgb"

You simply run mgart $FILE and Mgart does the rest for you. The resulting image looks like:


You can find more example artworks and their configuration in the examples/ folder here.

Supported Algorithms

Below you will find a list of algorithms either already supported by Mgart or planned to be supported in a future release.


Algorithms for creating various types of fractal art.

Mandelbrot and Julia Sets

  • A lot of different rendering methods still to implement


  • Buddhabrot

  • Anti-Buddhabrot

  • Nebulabrot


  • Fractal Flames

  • Newton Fractals

  • Strange Attractors

  • L-Systems

  • Turing patterns

AI Art

  • DeepDream-like filter

  • Text-to-image


Contributions are very welcome! See CONTRIBUTING.md for details. When you contribute, make sure to follow the Contributor Covenant v2.1.


Mgart is licensed under the MIT license. See LICENSE for details.


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