https://github.com/a-ng-d/utils-ui-color-palette
Core utilities library for UI Color Palette - a color management plugin for design tools. This library provides the foundational color manipulation, contrast calculation, and palette generation features used in the plugin.
https://github.com/a-ng-d/utils-ui-color-palette
apca color contrast wcag2 wcag3
Last synced: 3 months ago
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Core utilities library for UI Color Palette - a color management plugin for design tools. This library provides the foundational color manipulation, contrast calculation, and palette generation features used in the plugin.
- Host: GitHub
- URL: https://github.com/a-ng-d/utils-ui-color-palette
- Owner: a-ng-d
- License: mit
- Created: 2025-05-23T22:11:59.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2026-04-02T16:43:35.000Z (4 months ago)
- Last Synced: 2026-04-03T04:46:40.735Z (4 months ago)
- Topics: apca, color, contrast, wcag2, wcag3
- Language: HTML
- Homepage:
- Size: 457 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
README
  
# UI Color Palette Utils
Core utilities library for UI Color Palette - a color management plugin for design tools. This library provides the foundational color manipulation, contrast calculation, and palette generation features used in the plugin.
## Design Tools Compatibility
UI Color Palette is available for:
- Figma - Create and manage color primitives directly in your Figma designs
- FigJam - Collaborate on color decisions with your team
- Penpot - Open-source design tool alternative with full color management support
## Features
- **Color Contrast Tools**:
- APCA contrast calculations
- WCAG 2.1 compliance checking
- Contrast ratio calculations between colors
- Pre-computed text contrast scores (light/dark) per shade
- **Color Manipulation**:
- Color space conversions (RGB, HSL, HSLuv, LAB)
- Color mixing and blending
- Brightness and saturation adjustments
- **Dominant Colors Extraction**:
- Extract dominant colors from images using K-means clustering
- Configurable number of colors to extract
- Automatic color frequency calculation
- Support for transparent pixel filtering
- **Color Harmony Generation**:
- Generate analogous, complementary, triadic, tetradic, square, and compound color harmonies
- Configurable analogous spread angle
- Automatic color relationship calculations
- Support for all major color harmony types
- **Palette Generation**:
- Create harmonious color schemes
- Generate accessible color combinations
- Scale generation for design systems
## Installation
```bash
npm install @a_ng_d/utils-ui-color-palette
# or
yarn add @a_ng_d/utils-ui-color-palette
```
## Usage
```typescript
import {
Color,
Contrast,
Data,
DominantColors,
ColorHarmony,
} from '@a_ng_d/utils-ui-color-palette'
// Use Color class for color manipulation
const color = new Color({
sourceColor: [255, 0, 0], // RGB values
lightness: 50,
hueShifting: 0,
chromaShifting: 100,
})
// Use Contrast class for accessibility checks
const contrast = new Contrast({
backgroundColor: [255, 255, 255],
textColor: '#000000',
})
// Use Data class for palette generation
const data = new Data({
base: baseConfig,
themes: themesConfig,
meta: metaConfig,
})
```
## Examples
### Color Manipulation
```typescript
import { Color } from '@a_ng_d/utils-ui-color-palette'
// Create a color instance
const color = new Color({
sourceColor: [255, 0, 0], // Red in RGB
lightness: 50,
chromaShifting: 100,
})
// Convert to different color spaces
const lchColor = color.lch() // Returns LCH color
const oklchColor = color.oklch() // Returns OKLCH color
const hslColor = color.hsl() // Returns HSL color
const labColor = color.lab() // Returns LAB color
// Mix colors
const mixedRgb = color.mixColorsRgb(
[255, 0, 0, 0.5], // Semi-transparent red
[0, 0, 255, 1] // Solid blue
)
const mixedHex = color.mixColorsHex('#FF0000', '#0000FF')
```
### Contrast Calculations
```typescript
import { Contrast } from '@a_ng_d/utils-ui-color-palette'
// Create a contrast checker instance
const contrast = new Contrast({
backgroundColor: [255, 255, 255], // White background
textColor: '#000000', // Black text
})
// Get contrast values
const wcagContrast = contrast.getWCAGContrast() // WCAG 2.1 contrast ratio
const apcaContrast = contrast.getAPCAContrast() // APCA contrast value
const wcagScore = contrast.getWCAGScore() // Returns: 'AAA', 'AA', or 'A'
// Get accessibility recommendations
const usage = contrast.getRecommendedUsage() // Returns usage recommendation
const minSizes = contrast.getMinFontSizes() // Returns minimum font sizes
// Find specific contrast values
const lightness = contrast.getLightnessForContrastRatio(4.5) // For WCAG AA
```
### Dominant Colors Extraction
```typescript
import { DominantColors } from '@a_ng_d/utils-ui-color-palette'
// Prepare your image data (from canvas, file, etc.)
const canvas = document.createElement('canvas')
const ctx = canvas.getContext('2d')
// ... load your image into the canvas
const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height)
// Create a dominant colors extractor
const dominantColors = new DominantColors({
imageData: imageData,
colorCount: 5, // Extract top 5 colors
maxIterations: 50, // K-means algorithm iterations
tolerance: 0.01, // Convergence tolerance
skipTransparent: true, // Skip transparent pixels
})
// Extract the dominant colors
const colors = dominantColors.extractDominantColors()
// Results array contains:
colors.forEach((result) => {
console.log({
color: result.color, // RGB array: [r, g, b]
hex: result.hex, // Hex string: "#ff0000"
percentage: result.percentage, // Percentage of image: 25.5
count: result.count, // Number of pixels: 1000
})
})
// Update settings dynamically
dominantColors.setColorCount(8) // Change to 8 colors
dominantColors.updateOptions({
maxIterations: 100,
tolerance: 0.005,
})
// Get current configuration
const options = dominantColors.getOptions()
```
#### Working with File Uploads (ArrayBuffer)
For modern web applications that need to extract colors from uploaded image files:
```typescript
import { DominantColors } from '@a_ng_d/utils-ui-color-palette'
// Handle file upload from user input
const handleImageUpload = async (event: Event) => {
const file = (event.target as HTMLInputElement).files?.[0]
if (!file) return
// Convert file to ArrayBuffer
const arrayBuffer = await file.arrayBuffer()
try {
// Simple usage: extract 5 dominant colors
const colors = await DominantColors.extract(arrayBuffer, 5)
console.log('Extracted colors:', colors)
// Each color object contains: { color, hex, percentage, count }
} catch (error) {
console.error('Error extracting colors:', error)
}
}
// Advanced usage with custom options
const extractColorsAdvanced = async (arrayBuffer: ArrayBuffer) => {
const colors = await DominantColors.fromArrayBuffer(arrayBuffer, {
colorCount: 8,
maxIterations: 100,
tolerance: 0.005,
skipTransparent: true,
maxImageSize: 300, // Resize large images for faster processing
})
return colors
}
// HTML file input example
//
```
**Note**: ArrayBuffer extraction requires a browser environment with Canvas API support.
### Color Harmony Generation
```typescript
import { ColorHarmony } from '@a_ng_d/utils-ui-color-palette'
// Create a color harmony generator
const colorHarmony = new ColorHarmony({
baseColor: [255, 0, 0], // Red base color
analogousSpread: 30, // 30 degrees for analogous colors
})
// Generate specific harmony types
const analogous = colorHarmony.generateAnalogous()
const complementary = colorHarmony.generateComplementary()
const triadic = colorHarmony.generateTriadic()
const tetradic = colorHarmony.generateTetradic()
const square = colorHarmony.generateSquare()
const compound = colorHarmony.generateCompound()
// Generate harmony by type
const harmony = colorHarmony.generateHarmony('TRIADIC')
// Generate all harmonies at once (now includes 6 harmonies)
const allHarmonies = colorHarmony.getAllHarmonies()
// Results contain both RGB and hex values
console.log(triadic.colors) // [[255, 0, 0], [0, 255, 0], [0, 0, 255]]
console.log(triadic.hexColors) // ['#ff0000', '#00ff00', '#0000ff']
// Update settings
colorHarmony.setBaseColor([0, 128, 255])
colorHarmony.setAnalogousSpread(45)
colorHarmony.updateOptions({
analogousSpread: 60,
returnFormat: 'hex',
})
```
### Palette Generation
```typescript
import { Data } from '@a_ng_d/utils-ui-color-palette'
// Configure your palette
const config = {
base: {
name: 'My Palette',
colors: [
/* your colors */
],
colorSpace: 'LAB',
algorithmVersion: 'v3',
},
themes: [
{
id: 'light',
name: 'Light Theme',
scale: {
/* lightness values */
},
visionSimulationMode: 'NONE',
},
],
meta: {
/* metadata */
},
}
// Create a data instance
const data = new Data(config)
// Generate palette data
const paletteData = data.makePaletteData()
const fullData = data.makePaletteFullData()
// Access pre-computed text contrast scores
paletteData.themes[0].colors[0].shades.forEach((shade) => {
if (shade.textContrast) {
// WCAG scores for light/dark text on this shade
console.log(shade.textContrast.wcag.light) // { ratio: 4.5, score: 'AA' }
console.log(shade.textContrast.wcag.dark) // { ratio: 12.6, score: 'AAA' }
// APCA scores for light/dark text on this shade
console.log(shade.textContrast.apca.light) // { lc: -60.2, recommendedUsage: 'BODY_TEXT' }
console.log(shade.textContrast.apca.dark) // { lc: 85.1, recommendedUsage: 'FLUENT_TEXT' }
}
})
```
## Testing
```bash
npm test
# or
yarn test
```
## Code Coverage
Current test coverage results:
| File | % Stmts | % Branch | % Funcs | % Lines |
| ----------------- | ------- | -------- | ------- | ------- |
| **All files** | **91.61** | **87.27** | **91.59** | **91.61** |
| code | 100 | 100 | 100 | 100 |
| color | 93.54 | 77.51 | 83.33 | 93.54 |
| color-harmony | 100 | 96.66 | 100 | 100 |
| contrast | 89 | 93.33 | 100 | 89 |
| data | 93.48 | 89.74 | 100 | 93.48 |
| dominant-colors | 77.58 | 89.06 | 90.47 | 77.58 |
To run coverage tests:
```bash
npm run test:coverage
```
## Credits
This project relies on several excellent open source packages:
### Color Processing
- [chroma.js](https://gka.github.io/chroma.js/) - A powerful library for color manipulations and conversions
- Author: Gregor Aisch
- License: BSD-3-Clause
### Contrast Calculation
- [APCA-W3](https://github.com/Myndex/SAPC-APCA) - Advanced Perceptual Contrast Algorithm
- Author: Andrew Somers
- License: W3C Software and Document Notice and License
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.