User agent detail

Mozilla/4.0 SonyEricssonW705v/R1GA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.4.4
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonW705v Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.042 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.4closeJVM AccessNetFront Ver. 3.4mobile-browseryescloseclose0.18902 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonW705vfeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.4close SonyEricssonW705vcloseclosecloseclose0.006 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.08901 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W705vcloseclosecloseclosecloseclose0.41304 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonW705vmobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close AccessNetFront Ver. 3.4Feature Phoneyescloseclose0.014 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 2016-02-13 13:32:52 | by ThaDafinser