User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; G79 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.89 Safari/537.36 OPR/27.0.1698.89115
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-563.php
Opera Mobile 27.0Blink unknownAndroid 4.2unknowngeneral Mobile PhoneMobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
Opera Mobile 27.0Blink Android 4.2Mobile Phoneyesyes0.021 Detail
BrowscapLite
6014
Chrome 40.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.006 Detail
BrowscapPhp
6014
Opera Mobile 27.0closeAndroid closecloseMobile Phoneyesyesclose0.021 Detail
DonatjUAParser
v0.5.1
Opera Next 27.0.1698.89115closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 27.0.1698.89115closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Opera Mobile 27.0.1698.89115closeAndroid 4.2.2G79mobile-browseryescloseclose0.29902 Detail
PiwikDeviceDetector
3.6.1
Opera 27.0Blink Android 4.2yes0.004 Detail
SinergiBrowserDetector
6.0.1
Opera 27.0.1698.89115closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Opera 27.0.1698closeAndroid 4.2.2G79closeclosecloseclose0.002 Detail
UserAgentApiCom

Opera 27.0.1698.89115WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.082 Detail
WhatIsMyBrowserCom

Opera 27.0.1698.89115WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.26701 Detail
WhichBrowser
v2.0.18
Opera 27.0Blink Android 4.2.2G79tabletyescloseclose0.004 Detail
Woothee
v1.2.0
Opera 27.0.1698.89115closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 27.0.1698.89115closeAndroid 4.2.2Tabletyesyescloseclose0.016 Detail
Zsxsoft
1.3
Opera 27.0.1698.89115closeAndroid 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 08:09:59 | by ThaDafinser