User agent detail

SonyEricssonK700v/R10BA Browser/NetFront/3.3 Profile/MIDP-2.0 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
SonyEricssonK700v Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.1 Detail
DonatjUAParser
v0.5.0
SonyEricssonK700v R10BAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonK700mobile-browseryescloseclose0.189 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK700vfeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK700vcloseclosecloseclose0.01 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.053 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K700vcloseclosecloseclosecloseclose0.415 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK700vmobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonK700Feature 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 13:29:26 | by ThaDafinser