User agent detail

Mozilla/5.0 (Linux; Android 5.0.2; Build/LRX22G) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.81 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-635.php
Chrome 41.0Blink unknownAndroid 5.0unknowngeneral Mobile PhoneMobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 41.0Blink Android 5.0Mobile Phoneyesyes0.064 Detail
BrowscapLite
6014
Chrome 41.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.018 Detail
BrowscapPhp
6014
Chrome 41.0closeAndroid closecloseMobile Phoneyesyesclose0.063 Detail
DonatjUAParser
v0.5.1
Chrome 41.0.2272.81closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 41.0.2272.81closeAndroidOS 5.0.2closeclosecloseyescloseclose0.006 Detail
NeutrinoApiCom

Chrome 41.0.2272.81closeAndroid 5.0.2desktop-browsercloseclose0.22701 Detail
PiwikDeviceDetector
3.6.1
Chrome 41.0Blink Android 5.0tabletyes0.009 Detail
SinergiBrowserDetector
6.0.1
Chrome 41.0.2272.81closeAndroid 5.0.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 41.0.2272closeAndroid 5.0.2closeclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 41.0.2272.81WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 5.0.2closecloseclosecloseclose0.07501 Detail
WhatIsMyBrowserCom

Chrome 41.0.2272.81WebKit 537.36Android 5.0.2closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Chrome 41Blink Android 5.0.2tabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 41.0.2272.81closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 41.0.2272.81closeAndroid 5.0.2Tabletyesyescloseclose0.021 Detail
Zsxsoft
1.3
Google Chrome 41.0.2272.81closeAndroid 5.0.2closeclosecloseclosecloseclose0.001 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 07:58:41 | by ThaDafinser