Creagen

A general purpose library meant for creative coding.

This library tailors more to experienced programmers with a focus on good function semantics and reuse of code and concepts.

[!CAUTION] This is a highly experimental library and is very sensitive to future changes I implement a lot of algorithms here myself as a learning experience so don't expect the smoothest of performance.

Build

npm install
npm run build

Roadmap

• Reduce svg size (https://www.svgviewer.dev/)
• Treat svg paths as vertex (https://baku89.github.io/pave/guide.html) and allow linear operations on it
• Gcode support
• Webassembly for cpu heavy stuff
• 3d Graphics
  • glTF format support (format for 3d models and skeleton animations)
• GPU accelerated tensors (https://www.tensorflow.org/js/guide/platform_environment)
  • When webgpu is supported on all major devices (https://developer.mozilla.org/en-US/docs/Web/API/WebGPU_API)
  • WebGPU has compute shaders which WebGL does not have
  • https://github.com/tensorflow/tfjs/tree/master/tfjs-backend-webgpu
  • Comment on fast geometry in browser: https://www.reddit.com/r/webdev/comments/1ddpr9p/comment/l87gk60/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

Resources

Library

• https://github.com/anvaka/fieldplay Math:
• https://mathjs.org/docs/reference/functions.html#matrix-functions
• http://sylvester.jcoglan.com/api/vector.html#create
• https://github.com/scijs/ndarray Reading
• https://en.wikipedia.org/wiki/Tessellation
• https://en.wikipedia.org/wiki/Random_walk
• https://en.wikipedia.org/wiki/Loop-erased_random_walk
• http://xahlee.info/math/algorithmic_math_art.html
• https://en.wikipedia.org/wiki/OpenSimplex_noise