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; .NET4.0C; .NET4.0E; MAFS; InfoPath.2; OfficeLiveConnector.1.5; OfficeLivePatch.1.3; MSOffice 12)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/desktop.yml
Internet Explorer 11.0Trident Windows 7Fujitsudesktopcloseclose0 Detail
Providers
BrowscapFull
6014
Office 2007Trident Win7 6.1Desktop0.039 Detail
BrowscapLite
6014
IE 11.0closeWin7 closecloseDesktopcloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Office 2007closeWin7 closecloseDesktopclose0.025 Detail
DonatjUAParser
v0.5.1
MSIE 7.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 7.0closeWindows 6.1closecloseclosecloseclose0.003 Detail
NeutrinoApiCom

Outlook 2007 closeWindows 6.1email-clientcloseclose0.21801 Detail
PiwikDeviceDetector
3.6.1
Internet Explorer 11.0Trident Windows 7Fujitsudesktop0.006 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 11.0closeWindows 7closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Outlook 2007closeWindows 7 closeclosecloseclose0.002 Detail
UserAgentApiCom

Internet Explorer 7.0Trident 7.0closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

Internet Explorer 7.0closeWindows 7 closecloseclosecloseclose0.13201 Detail
WhatIsMyBrowserCom

Internet Explorer 11.0Trident 7.0Windows Windows NT 6.1Fujitsucloseclosecloseclosecloseclose0.24201 Detail
WhichBrowser
v2.0.18
Microsoft Office 12Trident 7.0Windows 7desktopcloseclose0.003 Detail
Woothee
v1.2.0
Internet Explorer 7.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
IE 7.0closeWindows 7Desktopcloseclose0.016 Detail
Zsxsoft
1.3
Internet Explorer 7.0closeWindows 7closeclosecloseclosecloseclose0.001 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 08:09:53 | by ThaDafinser