User agent detail

SonyEricssonG502c/R1FA Browser/NetFront/3.4 Profile/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
SonyEricssonG502c Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.04601 Detail
DonatjUAParser
v0.5.0
SonyEricssonG502c R1FAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonG502mobile-browseryescloseclose0.22504 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonG502cfeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonG502ccloseclosecloseclose0.007 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.05301 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson G502ccloseclosecloseclosecloseclose0.40108 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonG502cmobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonG502Feature Phoneyescloseclose0.031 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 13:42:02 | by ThaDafinser