User agent detail

K-Touch_W366_CUCC/1.0 WindowsMobileOS/6.5 Release/30.10.2009 Browser/MSIE-6.0 Profile/MIDP-2.0 Configuration/CLDC-1.1 (compatible; MSIE 6.0; Windows CE; IEMobile 8.12; MSIEMobile 6.0)
Additional headers
UA-OS Windows CE (Pocket PC) - Version 5.2
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-windowsmobile.yaml
Mobile Internet Explorer 6.0Trident Windows Mobile 6.5W366mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
IEMobile 8.12closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 8.12closeWindowsMobileOS closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

IE Mobile 8.12closeWindows K-TouchW366mobile-browseryescloseclose0.18602 Detail
PiwikDeviceDetector
3.6.1
IE Mobile 8.12Trident Windows CE K-TouchW366smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer Profile/MIDP-2.0closeWindows CEclosecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
IE Mobile 8.12closeWindows Mobile closeclosecloseclose0.004 Detail
UserAgentApiCom

Internet Explorer 6.0 closeclosecloseMobileclosecloseclose0.13401 Detail
UserAgentStringCom

IE Mobile 8.12closeWindows CE closecloseclosecloseclose0.42804 Detail
WhatIsMyBrowserCom

Internet Explorer Mobile Windows closeclosecloseclosecloseclose0.62906 Detail
WhichBrowser
v2.0.18
Mobile Internet Explorer 6.0Trident Windows Mobile 6.5K-TouchW366mobile:smartyescloseclose0.003 Detail
Woothee
v1.2.0
Internet Explorer 6.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
IE Mobile closeWindows Mobile Feature Phoneyescloseclose0.08001 Detail
Zsxsoft
1.3
IEMobile 8.12closeWindows CEK-TouchW366closeclosecloseclosecloseclose0 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 2016-05-17 06:37:38 | by ThaDafinser