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

jay-peg

v1.0.2

Published

Performant JPEG decoder

Downloads

762,140

Readme

jay-peg

Overview

A blazing-fast and compact JavaScript library dedicated to efficiently decoding JPEG images.

Installation

Using npm:

npm install jay-peg

Using yarn:

yarn add jay-peg

Usage

Use the decoder providing a JPEG data buffer as input.

import JPEG from 'jay-peg';

const jpegBuffer = /* your JPEG buffer here */;
const imageMarkers = JPEG.decoder(jpegBuffer);

console.log(imageMarkers);

Example Output

The output consists of a structured array of image markers:

[
  {
    type: 65496,
    name: "SOI",
  },
  {
    type: 65505,
    name: "EXIF",
    length: 16382,
    identifier: "Exif\x00\x00",
    entries: [Object],
  },
  {
    type: 65499,
    name: "DAC",
    length: 132,
    tables: [[Object], [Object]],
  },
  // ... and so forth
  {
    type: 65497,
    name: "EOI",
  },
];

API

decoder(buffer: Buffer | Uint8Array): Array<ImageMarker>

The decoder function accepts a JPEG buffer as its sole argument and returns an array of image markers.

Parameters

  • buffer: A Buffer or Uint8Array containing the JPEG image data.

Returns

An array of objects representing various markers found in the JPEG image.

ImageMarker

Each ImageMarker object in the output array adheres to the following structure:

  • type (Number): The marker type.
  • name (String): The marker name.
  • length (Number): The length of the marker data.
  • Additional properties specific to certain marker types.

Performance

Performance is a key focus of `jay-peg``. In a benchmark test using a 2448×3264, 2.2MB JPEG image, the decoding speed was measured as follows:

Benchmarked: small:  x 11,597 ops/sec ±0.60% (95 runs sampled)
Benchmarked: medium:  x 11,219 ops/sec ±0.20% (98 runs sampled)
Benchmarked: large:  x 7,744 ops/sec ±0.27% (100 runs sampled)
Benchmarked: huge:  x 2,019 ops/sec ±0.36% (96 runs sampled)

It's worth noting that the performance is significantly improved on smaller and simpler images.

License

jay-peg is released under the MIT License