User agent detail

SonyEricssonC902c/R3DA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.3.2
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonC902c Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.05599 Detail
DonatjUAParser
v0.5.0
SonyEricssonC902c R3DAcloseclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonC902mobile-browseryescloseclose0.18804 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonC902cfeature phoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonC902ccloseclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.06401 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson C902ccloseclosecloseclosecloseclose0.57711 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonC902cmobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonC902Feature Phoneyescloseclose0.038 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 13:35:44 | by ThaDafinser