User agent detail

Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; QQDownload 1.7; GTB6.6; TencentTraveler 4.0; SLCC1; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 3.5.30729; .NET CLR 3.0.30729)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Zsxsoft
1.3
vendor/zsxsoft/php-useragent/tests/UserAgentList.php
Tencent Traveler 4.0closeWindows Vistaclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
IE 8.0Trident 4.0WinVista 6.0Desktop0.019 Detail
BrowscapLite
6014
IE 8.0closeWinVista closecloseDesktopcloseclosecloseclose0.009 Detail
BrowscapPhp
6014
IE 8.0closeWinVista closecloseDesktopclose0.013 Detail
DonatjUAParser
v0.5.1
MSIE 8.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 8.0closeWindows 6.0closecloseclosecloseclose0.003 Detail
NeutrinoApiCom

TT Explorer 4.0closeWindows 6.0desktop-browsercloseclose0.23801 Detail
PiwikDeviceDetector
3.6.1
Internet Explorer 8.0Trident Windows Vistadesktop0.004 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 8.0closeWindows Vistaclosecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
IE 8.0closeWindows Vista closeclosecloseclose0.003 Detail
UserAgentApiCom

Internet Explorer 8.0Trident 4.0closeclosecloseDesktopclosecloseclose0.15301 Detail
UserAgentStringCom

Tencent Traveler 4.0closeWindows Vista closecloseclosecloseclose0.07701 Detail
WhatIsMyBrowserCom

QQDownload Download Manager 1.7Trident 4.0Windows Windows NT 6.0closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Tencent Traveler 4.0Trident 4.0Windows Vistadesktopcloseclose0.001 Detail
Woothee
v1.2.0
Internet Explorer 8.0closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.7.1.0
IE 8.0closeWindows VistaDesktopcloseclose0.016 Detail
Zsxsoft
1.3
Tencent Traveler 4.0closeWindows Vistacloseclosecloseclosecloseclose0 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 07:54:34 | by ThaDafinser