User agent detail

Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; Win64; x64; Trident/7.0; .NET CLR 2.0.50727; SLCC2; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; InfoPath.3; .NET CLR 1.1.4322; FDM; Tablet PC 2.0; .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 7desktopcloseclose0 Detail
Providers
BrowscapFull
6014
Outlook 2010Trident 7.0Win7 6.1Desktop0.0156 Detail
BrowscapLite
6014
IE 11.0closeWin7 closecloseDesktopcloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Outlook 2010closeWin7 closecloseDesktopclose0.0156 Detail
DonatjUAParser
v0.5.1
MSIE 7.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 7.0closeWindows 6.1closecloseclosecloseclose0 Detail
NeutrinoApiCom

Outlook 2010 closeWindows 6.1email-clientcloseclose0.2184 Detail
PiwikDeviceDetector
3.6.1
Microsoft Outlook 14.0 Windows 7desktop0.0156 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 11.0closeChrome OS closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Outlook 2010closeWindows 7 closeclosecloseclose0 Detail
UserAgentApiCom

Internet Explorer 7.0Trident 7.0closeclosecloseTabletclosecloseclose0.1404 Detail
UserAgentStringCom

Internet Explorer 7.0closeWindows 7 closecloseclosecloseclose0.1092 Detail
WhatIsMyBrowserCom

Internet Explorer 11.0Trident 7.0Windows Windows NT 6.1closeclosecloseclosecloseclose0.2496 Detail
WhichBrowser
v2.0.18
Microsoft Outlook 14.0Trident 7.0Windows 7desktopcloseclose0 Detail
Woothee
v1.2.0
Internet Explorer 7.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
IE 7.0closeWindows 7Desktopcloseclose0.0156 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 07:51:06 | by ThaDafinser