User agent detail

Mozilla/4.0 (compatible; MSIE 6.0; Windows CE; IEMobile 7.6) SonyEricssonK610i/R1L Browser/NetFront/3.3 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SonyEricssonK610iclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
IEMobile 7.6Trident 3.1WinCE Mobile Phoneyes0.021 Detail
BrowscapLite
6014
IE 6.0closeWin32 closecloseDesktopcloseclosecloseclose0.006 Detail
BrowscapPhp
6014
IE 6.0closeWin32 closecloseDesktopclose0.013 Detail
DonatjUAParser
v0.5.1
IEMobile 7.6closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 7.6closeWindowsMobileOS closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

IE Mobile 7.6closeWindows SonyEricssonK610imobile-browseryescloseclose0.21301 Detail
PiwikDeviceDetector
3.6.1
IE Mobile 7.6Trident Windows CE Sony EricssonK610ifeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 6.0closeWindows CEclosecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.3closeWindows CE SonyEricssonK610icloseclosecloseclose0.002 Detail
UserAgentApiCom

Internet Explorer 6.0 closeclosecloseMobileclosecloseclose0.15401 Detail
UserAgentStringCom

IE Mobile 7.6closeWindows CE closecloseclosecloseclose0.064 Detail
WhatIsMyBrowserCom

Internet Explorer Mobile Windows Sony EricssonSony Ericsson K610icloseclosecloseclosecloseclose0.43702 Detail
WhichBrowser
v2.0.18
NetFront 3.3 Windows Mobile 6.1Sony EricssonK610imobile:smartyescloseclose0.003 Detail
Woothee
v1.2.0
Internet Explorer 6.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
IE Mobile closeWindows Mobile SonyEricssonK610iFeature Phoneyescloseclose0.026 Detail
Zsxsoft
1.3
IEMobile 7.6closeWindows CESonyEricssonK610icloseclosecloseclosecloseclose0 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 08:00:56 | by ThaDafinser