User agent detail

Microsoft Office/14.0 (Windows NT 6.1; Microsoft Outlook 14.0.6106; Pro; 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 14.0.6106 Windows 7desktopcloseclose0 Detail
Providers
BrowscapFull
6014
Outlook 2010Trident Win7 6.1Desktop0.01 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Outlook 2010closeWin7 closecloseDesktopclose0.018 Detail
DonatjUAParser
v0.5.1
Microsoft closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeWindows 6.1closecloseclosecloseclose0.005 Detail
NeutrinoApiCom

Outlook 2010 closeWindows 6.1email-clientcloseclose0.21201 Detail
PiwikDeviceDetector
3.6.1
Microsoft Outlook 14.0 Windows 7desktop0.008 Detail
SinergiBrowserDetector
6.0.1
closeChrome OS closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Outlook 2010closeWindows 7 closeclosecloseclose0.01 Detail
UserAgentApiCom

closeclosecloseDesktopclosecloseclose0.14801 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Windows Windows NT 6.1closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Microsoft Outlook 14.0 Windows 7desktopcloseclose0.003 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
close Desktopcloseclose0.015 Detail
Zsxsoft
1.3
Microsoft Office closeWindows 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 08:05:01 | by ThaDafinser