User agent detail

Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 10.0; WOW64; Trident/8.0; .NET4.0C; .NET4.0E; .NET CLR 2.0.50727; .NET CLR 3.0.30729; .NET CLR 3.5.30729; Microsoft Outlook 15.0.4737; ms-office; MSOffice 15)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-718.php
Outlook 2013Trident 8.0Win10 10.0unknownWindows DesktopDesktop0 Detail
Providers
BrowscapFull
6014
Outlook 2013Trident 8.0Win10 10.0Desktop0.008 Detail
BrowscapLite
6014
IE 12.0closeWin10 closecloseDesktopcloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Outlook 2013closeWin10 closecloseDesktopclose0.009 Detail
DonatjUAParser
v0.5.1
MSIE 7.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 7.0closeWindows 10.0closecloseclosecloseclose0.002 Detail
NeutrinoApiCom

Outlook 2013 closeWindows 10.0email-clientcloseclose0.21601 Detail
PiwikDeviceDetector
3.6.1
Microsoft Outlook 15.0 Windows 10desktop0.002 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 7.0closeChrome OS closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Outlook 2013closeWindows 10 closeclosecloseclose0.003 Detail
UserAgentApiCom

Internet Explorer 7.0Trident 8.0closeclosecloseDesktopclosecloseclose0.15001 Detail
UserAgentStringCom

Internet Explorer 7.0closeWindows 10 closecloseclosecloseclose0.09501 Detail
WhatIsMyBrowserCom

Internet Explorer 7.0Trident 8.0Windows Windows NT 10.0closeclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
Microsoft Outlook 15.0Trident 8.0Windows 10desktopcloseclose0.002 Detail
Woothee
v1.2.0
Internet Explorer 7.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
close Desktopcloseclose0.019 Detail
Zsxsoft
1.3
Internet Explorer 7.0closeWindows 10Microsoftcloseclosecloseclosecloseclose0.001 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 08:06:18 | by ThaDafinser