User agent detail

Mozilla/4.0 (compatible; MSIE 9.0;IPMS/FFFFFFFF-1518D070BFB-000000000000; Windows NT 6.1; Trident/6.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; Tablet PC 2.0; InfoPath.3; MASMJS)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-500.php
IE 10.0Trident 6.0Win7 6.1unknownWindows DesktopDesktop0 Detail
Providers
BrowscapFull
6014
IE 10.0Trident 6.0Win7 6.1Desktop0.024 Detail
BrowscapLite
6014
IE 10.0closeWin7 closecloseDesktopcloseclosecloseclose0.008 Detail
BrowscapPhp
6014
IE 10.0closeWin7 closecloseDesktopclose0.012 Detail
DonatjUAParser
v0.5.1
MSIE 9.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 9.0closeWindows 6.1closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

IE 9.0closeWindows 6.1desktop-browsercloseclose0.22001 Detail
PiwikDeviceDetector
3.6.1
Internet Explorer 10.0Trident Windows 7Samsungdesktop0.004 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 9.0closeWindows 7closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
IE 9.0closeWindows 7 closeclosecloseclose0.003 Detail
UserAgentApiCom

Internet Explorer 9.0Trident 6.0closeclosecloseTabletclosecloseclose0.15101 Detail
UserAgentStringCom

Internet Explorer 9.0closeWindows 7 closecloseclosecloseclose0.11101 Detail
WhatIsMyBrowserCom

Internet Explorer 10.0Trident 6.0Windows Windows NT 6.1Samsungcloseclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
Internet Explorer 10.0Trident 6.0Windows 7desktopcloseclose0.004 Detail
Woothee
v1.2.0
Internet Explorer 9.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
close Desktopcloseclose0.016 Detail
Zsxsoft
1.3
Internet Explorer 9.0closeWindows 7closeclosecloseclosecloseclose0.001 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 08:00:00 | by ThaDafinser