User agent detail

SonyEricssonK8J50i/R1EA Browser/NetFront/3.4 Profil/MIDP-2.1 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
SonyEricssonK8J50i Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.07401 Detail
DonatjUAParser
v0.5.0
SonyEricssonK8J50i R1EAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4close AccessNetFront Ver. 3.4mobile-browseryescloseclose0.193 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonK8J50ismartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonK8J50icloseclosecloseclose0.011 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.087 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K8J50icloseclosecloseclosecloseclose0.407 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonK8J50imobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close AccessNetFront Ver. 3.4Feature Phoneyescloseclose0.034 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 13:43:08 | by ThaDafinser