User agent detail

Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; KKMAN3.2; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; OfficeLiveConnector.1.5; OfficeLivePatch.1.3; .NET4.0C)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-900.php
KKMAN 3.2Trident 4.0WinVista 6.0unknownWindows DesktopDesktop0 Detail
Providers
BrowscapFull
6014
KKMAN 3.2Trident 4.0WinVista 6.0Desktop0.02 Detail
BrowscapLite
6014
IE 8.0closeWinVista closecloseDesktopcloseclosecloseclose0.009 Detail
BrowscapPhp
6014
KKMAN 3.2closeWinVista closecloseDesktopclose0.013 Detail
DonatjUAParser
v0.5.1
MSIE 8.0closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
IE 8.0closeWindows 6.0closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

KKman 3.2closeWindows 6.0desktop-browsercloseclose0.21601 Detail
PiwikDeviceDetector
3.6.1
Internet Explorer 8.0Trident Windows Vistadesktop0.01 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 8.0closeWindows Vistaclosecloseclosecloseclose0 Detail
UAParser
v3.4.5
IE 8.0closeWindows Vista closeclosecloseclose0.003 Detail
UserAgentApiCom

Internet Explorer 8.0Trident 4.0closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

KKman 3.2closeWindows Vista closecloseclosecloseclose0.063 Detail
WhatIsMyBrowserCom

Internet Explorer 8.0Trident 4.0Windows Windows NT 6.0closeclosecloseclosecloseclose0.24101 Detail
WhichBrowser
v2.0.18
Internet Explorer 8.0Trident 4.0Windows Vistadesktopcloseclose0.003 Detail
Woothee
v1.2.0
Internet Explorer 8.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
IE 8.0closeWindows VistaDesktopcloseclose0.019 Detail
Zsxsoft
1.3
KKman 3.2closeWindows Vistacloseclosecloseclosecloseclose0.001 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 07:58:11 | by ThaDafinser