User agent detail

Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.85 Safari/537.36 QQBrowser/3.9.3952.400
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/browser-qq.yaml
QQ Browser 3.9Blink OS X El Capitan 10.11desktopclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 45.0Blink MacOSX 10.11AppleMacintoshDesktop0.02 Detail
BrowscapLite
6014
Chrome 45.0closeMacOSX closecloseDesktopcloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Chrome 45.0closeMacOSX closecloseDesktopclose0.008 Detail
DonatjUAParser
v0.5.1
Chrome 45.0.2454.85closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 45.0.2454.85closeOS X 10_11_2closecloseclosecloseclose0.004 Detail
NeutrinoApiCom

Chrome 45.0.2454.85closeOS X 10.11.2desktop-browsercloseclose0.21601 Detail
PiwikDeviceDetector
3.6.1
QQ Browser 3.9WebKit Mac 10.11desktop0.008 Detail
SinergiBrowserDetector
6.0.1
Chrome 45.0.2454.85closeOS X 10.11.2closecloseclosecloseclose0 Detail
UAParser
v3.4.5
QQ Browser 3.9.3952closeMac OS X 10.11.2closeclosecloseclose0.009 Detail
UserAgentApiCom

Chrome 45.0.2454.85WebKit 537.36closeclosecloseDesktopclosecloseclose0.15201 Detail
UserAgentStringCom

Chrome 45.0.2454.85closeOS X 10.11.2closecloseclosecloseclose0.07 Detail
WhatIsMyBrowserCom

QQ Browser 3.9.3952.400WebKit 537.36Mac OS X 10.11.2closeclosecloseclosecloseclose0.25201 Detail
WhichBrowser
v2.0.18
QQ Browser 3.9Blink OS X El Capitan 10.11desktopcloseclose0.003 Detail
Woothee
v1.2.0
Chrome 45.0.2454.85closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Chrome 45.0.2454.85closeMac OS X 10.11.2Desktopcloseclose0.019 Detail
Zsxsoft
1.3
QQBrowser 3.9.3952.400closeMac OS X 10.11.2 closeclosecloseclosecloseclose0.001 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 08:08:38 | by ThaDafinser