User agent detail

SonyEricssondigivice/R8BE 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
SonyEricssondigivice Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.05502 Detail
DonatjUAParser
v0.5.0
SonyEricssondigivice R8BEcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM AccessNetFront Ver. 3.3mobile-browseryescloseclose0.189 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony Ericssondigivicesmartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssondigivicecloseclosecloseclose0.007 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.138 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson digivicecloseclosecloseclosecloseclose0.403 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony Ericssondigivicemobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close AccessNetFront Ver. 3.3Feature Phoneyescloseclose0.017 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 13:41:35 | by ThaDafinser