npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

palette

v0.1.1

Published

Image color palette with node-canvas

Downloads

17

Readme

Palette

Image color palette extraction with node-canvas for node.js

image color palette example

Installation

$ npm install palette

Note: Palette's dependency, node-canvas, requires that Cairo be installed. Please see the installation guide for node-canvas for further details.

API

Palette's public API consists of a single function, the one returned by require(). This function accepts the canvas you wish to compute a color palette for, and an optional number of samples defaulting to 5.

The following example is taken from the ./test script, showing you how you may re-draw the palette onto the original canvas, however it is of course possible to save these values in a database etc.

var colors = palette(canvas, 10);
colors.forEach(function(color){
  var r = color[0]
    , g = color[1]
    , b = color[2]
    , val = r << 16 | g << 8 | b
    , str = '#' + val.toString(16);

  ctx.fillStyle = str;
  ctx.fillRect(x += 31, canvas.height - 40, 30, 30);
});

Running the examples

$ ./test examples/cat.jpg && open /tmp/out.png

Full example

This is the contents of ./test. The means of loading the image data and drawing it to the Canvas is up to you, they could be from a database, the file system, fetched from the web, however here we simply use img.src = path.

#!/usr/bin/env node

var palette = require('./')
  , fs = require('fs')
  , Canvas = require('canvas')
  , Image = Canvas.Image
  , canvas = new Canvas
  , ctx = canvas.getContext('2d')
  , path = process.argv[2]
  , out = '/tmp/out.png';

if (!path) {
  console.error('Usage: test <image>');
  process.exit(1);
}

var img = new Image;

img.onload = function(){
  canvas.width = img.width;
  canvas.height = img.height + 50;
  ctx.fillStyle = 'white';
  ctx.fillRect(0, 0, canvas.width, canvas.height);
  ctx.drawImage(img, 0, 0);
  paintPalette();
  save();
};

img.src = path;

function paintPalette() {
  var x = 0;
  var colors = palette(canvas);
  colors.forEach(function(color){
    var r = color[0]
      , g = color[1]
      , b = color[2]
      , val = r << 16 | g << 8 | b
      , str = '#' + val.toString(16);

    ctx.fillStyle = str;
    ctx.fillRect(x += 31, canvas.height - 40, 30, 30);
  });
}

function save() {
  fs.writeFile(out, canvas.toBuffer(), function(err){
    if (err) throw err;
    console.log('saved %s', out);
  });
}

Booyah

learnboost

License

(The MIT License)

Copyright (c) 2011 TJ Holowaychuk <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the 'Software'), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.