User agent detail

SonyEricssonC702c/R3BA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.3.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonC702c Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.036 Detail
DonatjUAParser
v0.5.0
SonyEricssonC702c R3BAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonC702mobile-browseryescloseclose0.188 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonC702cfeature phoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonC702ccloseclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.048 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson C702ccloseclosecloseclosecloseclose0.413 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonC702cmobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonC702Feature Phoneyescloseclose0.03 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 13:35:04 | by ThaDafinser