User agent detail

SonyEricssonW888c/R1JG Release/Feb-14-2007 Browser/NetFront/3.3 Profile/MIDP-2.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonW888c Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.042 Detail
DonatjUAParser
v0.5.0
SonyEricssonW888c R1JGcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW888cmobile-browseryescloseclose0.18904 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonW888cfeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW888ccloseclosecloseclose0.006 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.05101 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W888ccloseclosecloseclosecloseclose0.41008 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW888cmobile:featureyescloseclose0.015 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW888cFeature Phoneyescloseclose0.048 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 13:38:00 | by ThaDafinser