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

@saschazar/wasm-webp

v3.0.1

Published

Encodes and decodes WebP images using WebAssembly

Downloads

90

Readme

npm

📦 WebAssembly WebP decoder/encoder

A dependency-free WebP decoder/encoder written in WebAssembly

It encodes raw RGB(A) image data in a Uint8Array into the WebP format and vice versa.

Installation

yarn add @saschazar/wasm-webp

or

npm install --save @saschazar/wasm-webp

Usage

It supports usage in the browser, in a Web Worker and of course Node.js.

// Node.js
import wasm_webp from '@saschazar/wasm-webp';
import defaultOptions from '@saschazar/wasm-webp/options';

// Web Worker - see: https://developer.mozilla.org/en-US/docs/Web/API/WorkerGlobalScope/importScripts
importScripts('wasm_webp.js');

// -------- Browser/Web Worker/Node.js code below --------

// Decoding example:
// Load encoded WebP image data in Uint8Array
const array = new Uint8Array(['some', 'encoded', 'WebP', 'image', 'data']);
let result;

// Initialize the WebAssembly Module
const webpModule = wasm_webp({
  onRuntimeInitialized() {
    const alpha = true; // return RGBA Buffer, instead of RGB
    result = webpModule.encode(array, array.length, alpha); // decode image data and return a new Uint8Array
    webpModule.free(); // clean up memory after encoding is done
  },
});

// Encoding example:
// Load raw RGB image data in Uint8Array (e.g. consistently chained [R][G][B] data)
const array = new Uint8Array(['some', 'raw', 'RGB', 'image', 'data']);
const channels = 3; // 3 for RGB, 4 for RGBA
const width = 800; // the image's width
const height = 600; // the image's height
const options = defaultOptions; // WebP's options, a complete object is crucially needed!
let result;

// Initialize the WebAssembly Module
const webpModule = wasm_webp({
  onRuntimeInitialized() {
    result = webpModule.encode(array, width, height, channels, options); // encode image data and return a new Uint8Array
    webpModule.free(); // clean up memory after encoding is done
  },
});

Example

A working example is available on RunKit.

Options

⚠️ It's crucial to provide a complete options object. The default options object may be imported from the options.js file.

Credits

This module uses the webmproject/libwebp's source code and most of the code is written according to the examples provided in that repository.

License

Licensed under the MIT license.

Copyright ©️ 2020—2021 Sascha Zarhuber