User agent detail

SonyEricssonK700//R6BC 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
SonyEricssonK700 Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.041 Detail
DonatjUAParser
v0.5.0
SonyEricssonK700 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonK700mobile-browseryescloseclose0.20102 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK700smartphoneyes0.015 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK700closeclosecloseclose0.01 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.043 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K700closeclosecloseclosecloseclose0.41004 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK700mobile:featureyescloseclose0.017 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonK700Feature Phoneyescloseclose0.032 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 13:28:34 | by ThaDafinser