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is-desktop

v1.0.6

Published

A simple utility to detect if a user is on a desktop device.

Downloads

15

Readme

I appologise for the previous misconfigurations that lead to unusability of the package, maintainers are required feel free to add an issue to the issues tab

is-desktop

An utility to detect if a user is on a desktop device.

Installation

This package require nor use absolutely zero dependencies

Using CDN

<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Document</title>
    <script src="https://cdn.jsdelivr.net/npm/is-desktop"></script>
</head>
<body>
    
</body>
<script>
if (isDesktop) {
    //do what ever you want to do if on desktop/laptop
    console.log("User is on a desktop device.");
} else {
    //do what ever you want to do if not on desktop/laptop
    console.log("User is on a mobile device.");
}
</script>
</html>

Using package managers:

NPM

npm install is-desktop

PNPM

pnpm add is-desktop

YARN

yarn add is-desktop

Usage

The package provides a boolean value indicating whether the user is on a desktop device.

With Import

import isDesktop from 'is-desktop';

if (isDesktop) {
    //do what ever you want to do if on desktop/laptop
    console.log("User is on a desktop device.");
} else {
    //do what ever you want to do if not on desktop/laptop
    console.log("User is on a mobile device.");
}

With Require

const isDesktop = require('is-desktop');

if (isDesktop) {
    //do what ever you want to do if on desktop/laptop
    console.log("User is on a desktop device.");
} else {
    //do what ever you want to do if not on desktop/laptop
    console.log("User is on a mobile device.");
}

How It Works

The is-desktop package uses several detection methods to determine if the user is on a desktop device:

  • User-Agent Analysis: Checks the user-agent string for desktop operating systems and excludes mobile devices.
  • Screen Size Detection: Assumes desktop devices have a screen width greater than 1024 pixels.
  • Feature Detection: Detects the presence of mouse and context menu support.
  • Device Memory: Assumes desktop devices have more memory.(will be depreciated soon)
  • Behavioral Analysis: Checks for mouse movement and touch events to differentiate between desktop and mobile behavior.(may be depreciated soon)

Contributions

Contributions are welcome and you can find the source code and contribute at the GitHub repository.

Reporting Issues

If you encounter any issues or have feature/pull requests, please report them at the issue tab/tracker.

License

This project is open-source and is licensed under the MIT License - see the LICENSE file for details.

Author

Olanrewaju Olajide

Misc

_monyasau on Twitter.