User agent detail

Mozilla/5.0 (Windows NT 4.0) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.15 Safari/535.11 QQBrowser/6.12.12934.201
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/browser-qq.yaml
QQ Browser 6.12Webkit 535.11Windows NT 4.0desktopclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 17.0WebKit WinNT 4.0Desktop0.036 Detail
BrowscapLite
6014
Chrome closeWin32 closecloseDesktopcloseclosecloseclose0.021 Detail
BrowscapPhp
6014
Chrome 17.0closeWin32 closecloseDesktopclose0.055 Detail
DonatjUAParser
v0.5.1
Chrome 17.0.963.15closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 17.0.963.15closeWindows 4.0closecloseclosecloseclose0.002 Detail
NeutrinoApiCom

Chrome 17.0.963.15closeWindows 4.0desktop-browsercloseclose0.21001 Detail
PiwikDeviceDetector
3.6.1
QQ Browser 6.12WebKit Windows NTdesktop0.006 Detail
SinergiBrowserDetector
6.0.1
Chrome 17.0.963.15closeWindows NT 4.0closecloseclosecloseclose0 Detail
UAParser
v3.4.5
QQ Browser 6.12.12934closeWindows NT 4.0 closeclosecloseclose0.004 Detail
UserAgentApiCom

Chrome 17.0.963.15WebKit 535.11closeclosecloseDesktopclosecloseclose0.15301 Detail
UserAgentStringCom

Chrome 17.0.963.15closeWindows NT closecloseclosecloseclose0.07501 Detail
WhatIsMyBrowserCom

QQ Browser 6.12.12934.201WebKit 535.11Windows closeclosecloseclosecloseclose0.24801 Detail
WhichBrowser
v2.0.18
QQ Browser 6.12Webkit 535.11Windows NT 4.0desktopcloseclose0.005 Detail
Woothee
v1.2.0
Chrome 17.0.963.15closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 17.0.963.15closeWindows NT 4.0Desktopcloseclose0.021 Detail
Zsxsoft
1.3
QQBrowser 6.12.12934.201closeWindows NT 4.0closeclosecloseclosecloseclose0.001 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 07:59:37 | by ThaDafinser