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LUME Kiwi

LUME Kiwi is a fast TypeScript implementation of the Cassowary constraint solving algorithm, based on the seminal Cassowary paper. Originally created by Chris Colbert, it was redesigned from the ground up to be lightweight, fast and easy to maintain. View the benchmarks to see how it compares to Cassowary.js.

Soon it will be compiled to WebAssembly with AssemblyScript (TypeScript to WebAssembly compiler).

Demo

Live demo on CodePen.

Install

Local Install

Install using NPM:

npm install @lume/kiwi

If you have a plain web app with no build, or a non-browser JS runtime that also supports import maps like Deno, you'll need to add @lume/kiwi to your importmap script so that the browser or JS runtime knows where to import kiwi from. F.e. something like this:

<script type="importmap">
  {
    "imports": {
      "@lume/kiwi": "./node_modules/@lume/kiwi/dist/kiwi.js"
    }
  }
</script>

CDN Install

Note, if using importmaps and native ES Modules in a browser, or in a JS runtime like Deno, you can get Kiwi directly from the UNPKG CDN without installing it locally (just as the live CodePen demo does):

<script type="importmap">
  {
    "imports": {
      "@lume/kiwi": "https://unpkg.com/@lume/kiwi@0.4.2/dist/kiwi.js"
    }
  }
</script>

Usage

After installing, import kiwi into your project:

import * as kiwi from '@lume/kiwi'

console.log(kiwi)

// ...use kiwi...

The following example creates a solver which automatically calculates a width based on some constraints:

// Create a solver
var solver = new kiwi.Solver()

// Create edit variables
var left = new kiwi.Variable()
var width = new kiwi.Variable()
solver.addEditVariable(left, kiwi.Strength.strong)
solver.addEditVariable(width, kiwi.Strength.strong)
solver.suggestValue(left, 100)
solver.suggestValue(width, 400)

// Create and add a constraint
var right = new kiwi.Variable()
solver.addConstraint(new kiwi.Constraint(new kiwi.Expression([-1, right], left, width), kiwi.Operator.Eq))

// Solve the constraints
solver.updateVariables()

console.assert(right.value() === 500)

// later, update the constraints and re-calculate
setTimeout(() => {
  solver.suggestValue(left, 200)
  solver.suggestValue(width, 600)

  solver.updateVariables() // update

  console.assert(right.value() === 800)
}, 2000)

Documentation

API Reference

Benchmarks

To run the benchmark in the browser, just visit this page.

To run the benchmark locally using nodejs, clone or download this repository and execute the following steps:

npm install
npm run bench

Statically serve the project, f.e. npx five-server . which opens a new browser tab, then visit /bench/index.html to verify that the benchmark also runs in a browser.

Sample result output:

----- Running creation benchmark...
Cassowary.js x 2,597 ops/sec ±1.56% (93 runs sampled)
kiwi x 26,243 ops/sec ±1.34% (91 runs sampled)
kiwi new API x 20,840 ops/sec ±7.19% (80 runs sampled)
Fastest is kiwi (± 10.11x faster)
----- Running solving benchmark...
Cassowary.js x 260,002 ops/sec ±2.62% (89 runs sampled)
kiwi x 595,455 ops/sec ±1.74% (89 runs sampled)
Fastest is kiwi (± 2.29x faster)

Tests

To run the tests in the browser, just visit this page.

To run the tests locally using nodejs, clone or download this repository and execute the following steps:

npm install
npm run build && npm run test

Start a static server, f.e. npx five-server . which opens a new browser tab, and visit /test/index.html to verify that tests also pass in a browser.

Contribute

If you like this project and want to support it, show some love and give it a star, try it and report any bugs, write new feature ideas, or even open a pull request!

License

Status