fractule

👾 Fractal mathematics and visualization API

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fractule is an attempt to establish a human-friendly programming API for defining, visualizing, analyzing and interacting with fractal / chaotic functions.

The concept is that continually re-adapting fractule to as many fractal equations as possible will allow for a clean and generic abstraction to naturally emerge, and this will make fractal mathematics more accessible and understandable to programmers.

fractule is strongly influenced by Playing with Chaos by Keith Peters, an intriguing and intuitive introduction to coding fractal equations.

fractule will eventually extend beyond this work in order to help establish the real-world scientific uses of fractals, particularly in the world of physics. This includes but is not limited to:

• Logarithmic analysis
• Multi-fractal analysis
• Fractal dimension analysis
• Non-deterministic fractals
• Heterogenous fractals
• Bifurcations
• Distributions

API

This API is in flux, but it currently defines a Canvas interface for preparing, scaling, transforming and rendering fractal shapes.

Although the visualization API described below will slowly evolve, most of the additional work will be towards the mathematics API (which as of now, is really just dimension):

• iterate

  Kicks off the fractal iteration process

• iteration

  Called on each depth iteration of a fractal

• translate

  Prepares the fractal by translating its position

• drawUnit

  Invokes the overall drawing process of a single fractal unit

• setupUnit

  Prepares a fractal unit context for rendering (typically this.context.save())

• scaleUnit

  Returns a scaled size based on the current depth, size and angle of a fractal unit

• directUnit

  Prepares a fractal unit for movement by changing its direction / rotating it

• moveUnit

  Changes the position of the fractal unit context according to the scale

• renderUnit

  Render the fractal unit as an SVG stroke

• exitUnit

  Cleanup step that gets called after a fractal unit is successfully rendered

• distance

  Determines the Euclidean distance between two points (utility function)

• clear

  Clears out a canvas that may have one or more fractals on it. Supports a custom fill color

Sets

fractule implements various "sets", which are simply common fractal equations that can be visualized via configuration:

• Tree
• Koch Curve
• Koch Snowflake
• Sierpinski Triangle
• Mandelbrot
• Julia
• Bifurcation
• Lorenz Strange Attractor
• Coastlines
• Lightning
• L-Systems

And there will of course be more to come!

Install

npm install slurmulon/fractule

Examples

As of now, every fractal visualization generated by fractule can be viewed at the Playing with Chaos home page.

Tree

import { TreeFractal } from 'fractule'

const tree = new TreeFractal({
  epsilon : .75,
  depth   : 8,
  height  : 600, // defaults to window.innerHeight
  width   : 800  // defaults to window.innerWidth
})

tree.randomize()
tree.draw()

Bifurcation

import { BifurcationFractal } from 'fractule'

const bifur = new BifurcationFractal({
  min: {
    x: 2,
    y: 0
  },
  max: {
    x: 4,
    y: 1
  }
})

bifur.draw()

L-Systems

Sierpinski triangle (curved)

import { LSystemFractal } from 'fractule'

const lsystem = new LSystemFractal({
  iterations: 9,
  angle: 60,
  axiom: 'A',
  rules: {
    'A': 'B-A-B',
    'B': 'A+B+A'
  }
})

lsystem.draw()

Pleasant Error

import { LSystemFractal } from 'fractule'

const lsystem = new LSystemFractal({
  iterations: 4,
  angle: 72,
  axiom: 'F-F-F-F-F',
  rules: {
    'F': 'F-F++F+F-F-F'
  }
})

lsystem.draw()

Contributing

I am always looking for contributors, so if you're interested simply open up a PR or message me at me@madhax.io!

Roadmap

• Controls (zoom, pop, etc.)
• Colors (background, fill, transformation function / matrix, etc.)
• Math API
• Scientific notation (like Wolfram)
• Parallel renderings
• 3D renderings
• Animations
• Custom interpreters
• Separate math and visualizations more
• TypeScript
• Tests

License

MIT