User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.2; zh-cn; vivo Y22 Build/JDQ39) AppleWebKit/533.1 (KHTML, like Gecko)Version/4.0 MQQBrowser/5.4 TBS/025410 Mobile Safari/533.1 MicroMessenger/6.1.0.66_r1062275.542 NetType/WIFI
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-587.php
WeChat App 6.1WebKit unknownAndroid 4.2vivoY22Mobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
WeChat App 6.1WebKit Android 4.2vivoY22Mobile Phoneyesyes0.012 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
WeChat App 6.1closeAndroid closecloseMobile Phoneyesyesclose0.013 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.2.2VivoY22mobile-browseryescloseclose0.28402 Detail
PiwikDeviceDetector
3.6.1
WeChat 6.1 Android 4.2VivoVivo Y22smartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
QQ Browser Mobile 5.4closeAndroid 4.2.2vivoY22closeclosecloseclose0.002 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

QQ Browser 5.4WebKit 533.1Android 4.2.2closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
WeChat 6.1.0.66Webkit 533.1Android 4.2.2VivoY22mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.2.2closeAndroid 4.2.2VivoY22Smartphoneyesyescloseclose0.02 Detail
Zsxsoft
1.3
MQQBrowser 5.4closeAndroid 4.2.2vivoY22closeclosecloseclosecloseclose0 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 08:03:33 | by ThaDafinser