User agent detail

SonyEricssonK310iv/R4DA Browser/NetFront/3.3 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonK310iv Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.037 Detail
DonatjUAParser
v0.5.0
SonyEricssonK310iv R4DAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonK310ivmobile-browseryescloseclose0.189 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK310ivfeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK310ivcloseclosecloseclose0.009 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.05 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K310ivcloseclosecloseclosecloseclose0.415 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK310ivmobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonK310ivFeature Phoneyescloseclose0.041 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 13:27:40 | by ThaDafinser