Libraries tagged by devicedetection

The Universal Device Detection library, that parses User Agents and detects devices (desktop, tablet, mobile, tv, cars, console, etc.), clients (browsers, media players, mobile apps, feed readers, libraries, etc), operating systems, devices, brands and models.

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The Universal Device Detection library, that parses User Agents and detects devices (desktop, tablet, mobile, tv, cars, console, etc.), clients (browsers, media players, mobile apps, feed readers, libraries, etc), operating systems, devices, brands and models.

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A way to detect device types based on User-Agent header.

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UserAgent parsing done right http://useragent.mkf.solutions/

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Laravel wrapper for Matomo's Universal Device Detection library.

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A fast user-agent parser and device detector for PHP

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Symfony authentication audit log with geolocation, device detection and security notifications

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UserAgent parsing done right http://useragent.mkf.solutions/

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The standalone PHP Browscap parser Crossjoin\Browscap detects browser properties as well as device information based on the user agent string of the requesting browsers and search engines, using the data from the Browser Capabilities Project. It's several hundred times faster than the build-in PHP function get_browser(), and faster than other Browscap PHP libraries, with much lower memory consumption. Optionally Crossjoin\Browscap automatically updates the Browscap data, so you're always up-to-date. The newest version is build for PHP 7.x, for PHP >= 5.6 use version 2.x, for PHP >= 5.3 use version 1.x.

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High-performance device detection engines for the 51Degrees Pipeline API. Accurately identify devices, operating systems, browsers, and crawlers from HTTP headers.

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Intelligent device detection and app store routing for Craft CMS

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A package to capture user's IP, user agent, screen size and fetch IP-related info.

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A lean WordPress utility for browser detection, device recognition, and bot identification

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Mobile device detection

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A library for stand alone or web service device detection, using HandsetDetection.com.

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