User agent detail

Mozilla/5.0 (Linux; U; Android 4.4.2; zh-cn Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko)Version/4.0 MQQBrowser/5.3 Mobile Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/browser-qq.yaml
QQ Browser 5.3Webkit 537.36Android 4.4.2mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 4.4Mobile Phoneyesyes0.053 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.017 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 4.4.2closeclosecloseyescloseclose0.003 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.4.2KarbonnA21mobile-browseryescloseclose0.30302 Detail
PiwikDeviceDetector
3.6.1
QQ Browser 5.3WebKit Android 4.4yes0.006 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.4.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
QQ Browser Mobile 5.3closeAndroid 4.4.2closeclosecloseclose0.004 Detail
UserAgentApiCom

Safari 537.36WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.4.2closecloseclosecloseclose0.082 Detail
WhatIsMyBrowserCom

QQ Browser 5.3WebKit 537.36Android 4.4.2closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
QQ Browser 5.3Webkit 537.36Android 4.4.2mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.4.2closeAndroid 4.4.2Smartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
MQQBrowser 5.3closeAndroid 4.4.2closeclosecloseclosecloseclose0.001 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 08:10:58 | by ThaDafinser