User agent detail

Microsoft Office/15.0 (Windows NT 6.2; Microsoft Lync 15.0.4675; Pro)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-573.php
Lync 2013Trident unknownWin8 6.2unknownWindows DesktopDesktop0 Detail
Providers
BrowscapFull
6014
Lync 2013Trident Win8 6.2Desktop0.005 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Lync 2013closeWin8 closecloseDesktopclose0.009 Detail
DonatjUAParser
v0.5.1
Microsoft closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeWindows 6.2closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

closeWindows 6.2desktop-browsercloseclose0.20901 Detail
PiwikDeviceDetector
3.6.1
Windows 8desktop0.005 Detail
SinergiBrowserDetector
6.0.1
closeChrome OS closecloseclosecloseclose0 Detail
UAParser
v3.4.5
closeWindows 8 closeclosecloseclose0.003 Detail
UserAgentApiCom

closeclosecloseDesktopclosecloseclose0.15301 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Windows Windows NT 6.2closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Windows 8desktopcloseclose0.002 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
Microsoft Office closeWindows 8Microsoftcloseclosecloseclosecloseclose0 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 08:05:39 | by ThaDafinser