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; .NET4.0E; InfoPath.3; Microsoft Outlook 15.0.4615; ms-office; MSOffice 15)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-492.php
Outlook 2013Trident 7.0Win7 6.1unknownWindows DesktopDesktop0 Detail
Providers
BrowscapFull
6014
Outlook 2013Trident 7.0Win7 6.1Desktop0.023 Detail
BrowscapLite
6014
IE 11.0closeWin7 closecloseDesktopcloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Outlook 2013closeWin7 closecloseDesktopclose0.007 Detail
DonatjUAParser
v0.5.1
MSIE 7.0closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
IE 7.0closeWindows 6.1closecloseclosecloseclose0.002 Detail
NeutrinoApiCom

Outlook 2013 closeWindows 6.1email-clientcloseclose0.25101 Detail
PiwikDeviceDetector
3.6.1
Microsoft Outlook 15.0 Windows 7desktop0.004 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 11.0closeChrome OS closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Outlook 2013closeWindows 7 closeclosecloseclose0.006 Detail
UserAgentApiCom

Internet Explorer 7.0Trident 7.0closeclosecloseDesktopclosecloseclose0.16801 Detail
UserAgentStringCom

Internet Explorer 7.0closeWindows 7 closecloseclosecloseclose0.08701 Detail
WhatIsMyBrowserCom

Internet Explorer 11.0Trident 7.0Windows Windows NT 6.1closeclosecloseclosecloseclose0.24301 Detail
WhichBrowser
v2.0.18
Microsoft Outlook 15.0Trident 7.0Windows 7desktopcloseclose0.003 Detail
Woothee
v1.2.0
Internet Explorer 7.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
IE 7.0closeWindows 7Desktopcloseclose0.018 Detail
Zsxsoft
1.3
Internet Explorer 7.0closeWindows 7Microsoftcloseclosecloseclosecloseclose0.001 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 07:56:00 | by ThaDafinser