User agent detail

Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/7.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; CPDTDF; .NET4.0C; InfoPath.3; .NET4.0E; Microsoft Outlook 14.0.7113; ms-office; MSOffice 14)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/desktop.yml
Microsoft Outlook 14.0.7113 Windows 7Compaqdesktopcloseclose0 Detail
Providers
BrowscapFull
6014
Outlook 2010Trident 7.0Win7 6.1Desktop0.012 Detail
BrowscapLite
6014
IE 11.0closeWin7 closecloseDesktopcloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Outlook 2010closeWin7 closecloseDesktopclose0.014 Detail
DonatjUAParser
v0.5.1
MSIE 7.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 7.0closeWindows 6.1closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Outlook 2010 closeWindows 6.1email-clientcloseclose0.21701 Detail
PiwikDeviceDetector
3.6.1
Microsoft Outlook 14.0 Windows 7Compaqdesktop0.004 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 11.0closeChrome OS closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Outlook 2010closeWindows 7 closeclosecloseclose0.002 Detail
UserAgentApiCom

Internet Explorer 7.0Trident 7.0closeclosecloseDesktopclosecloseclose1.15207 Detail
UserAgentStringCom

Internet Explorer 7.0closeWindows 7 closecloseclosecloseclose0.096 Detail
WhatIsMyBrowserCom

Internet Explorer 11.0Trident 7.0Windows Windows NT 6.1Compaqcloseclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Microsoft Outlook 14.0Trident 7.0Windows 7desktopcloseclose0.002 Detail
Woothee
v1.2.0
Internet Explorer 7.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
IE 7.0closeWindows 7Desktopcloseclose0.019 Detail
Zsxsoft
1.3
Internet Explorer 7.0closeWindows 7Microsoftcloseclosecloseclosecloseclose0 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 08:04:56 | by ThaDafinser