User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; WTDR1018 Build/JDQ39) AppleWebKit/537.31 (KHTML, like Gecko) Chrome/26.0.1410.58 Safari/537.31
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-618.php
Chrome 26.0WebKit unknownAndroid 4.2ComagWTDR1018Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 26.0WebKit Android 4.2ComagWTDR1018Tabletyesyes0.0156 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0 Detail
BrowscapPhp
6014
Chrome 26.0closeAndroid closecloseTabletyesyesclose0.0156 Detail
DonatjUAParser
v0.5.1
Chrome 26.0.1410.58closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 26.0.1410.58closeAndroidOS 4.2.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 26.0.1410.58closeAndroid 4.2.2WTDR1018desktop-browsercloseclose0.2964 Detail
PiwikDeviceDetector
3.6.1
Chrome 26.0WebKit Android 4.2tabletyes0 Detail
SinergiBrowserDetector
6.0.1
Chrome 26.0.1410.58closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 26.0.1410closeAndroid 4.2.2WTDR1018closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 26.0.1410.58WebKit 537.31closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.1092 Detail
WhatIsMyBrowserCom

Chrome 26.0.1410.58WebKit 537.31Android 4.2.2closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Chrome Dev 26.0.1410.58Webkit 537.31Android 4.2.2WTDR1018tabletyescloseclose0 Detail
Woothee
v1.2.0
Chrome 26.0.1410.58closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 26.0.1410.58closeAndroid 4.2.2Tabletyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Google Chrome 26.0.1410.58closeAndroid 4.2.2closeclosecloseclosecloseclose0 Detail

About this comparison

The primary goal of this project is simple
I wanted to know which user agent parser is the most accurate in each part - device detection, bot detection and so on...

The secondary goal is to provide a source for all user agent parsers to improve their detection based on this results.

You can also improve this further, by suggesting ideas at ThaDafinser/UserAgentParserComparison

The comparison is based on the abstraction by ThaDafinser/UserAgentParser
Comparison created 2016-05-10 07:50:38 | by ThaDafinser