User agent detail

SonyEricssonC702a/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
SonyEricssonC702a Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.047 Detail
DonatjUAParser
v0.5.0
SonyEricssonC702a R3DAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonC702mobile-browseryescloseclose0.186 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonC702afeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonC702acloseclosecloseclose0.008 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.061 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson C702acloseclosecloseclosecloseclose0.409 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonC702amobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonC702Feature Phoneyescloseclose0.025 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 13:30:57 | by ThaDafinser