User agent detail

Microsoft Office/15.0 (Windows NT 6.2; Microsoft Lync 15.0.4675; Pro)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
browscap/browscap
/tests/fixtures/issues/issue-573.php
Lync 2013Win8 6.2unknown unknownWindows DesktopDesktop Detail
Providers
BrowscapPhp
6012
Lync 2013Trident Win8 6.2Windows DesktopDesktop0.017 Detail
DonatjUAParser
v0.5.0
Microsoft closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
closeWindows 6.2desktop-browsercloseclose0.304 Detail
PiwikDeviceDetector
3.5.2
Windows 8desktop0.007 Detail
SinergiBrowserDetector
6.0.0
closeChrome OS closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
closeWindows 8 closeclosecloseclose0.015 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Windows Windows NT 6.2closeclosecloseclosecloseclose0.414 Detail
WhichBrowser
2.0.10
Windows 8desktopcloseclose0.018 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.6.4
No result found

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 2016-02-13 13:25:54 | by ThaDafinser