User agent detail

SonyEricssonw300i/R4GB Browser/NetFront/3.3 Profile/MIDP-2.0 Configuration/CLDC-1.1,gzip(gfe)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonw300i Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.04901 Detail
DonatjUAParser
v0.5.0
SonyEricssonw300i R4GBcloseclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.3closeJVM AccessNetFront Ver. 3.3mobile-browseryescloseclose0.19002 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony Ericssonw300ifeature phoneyes0.01 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonw300icloseclosecloseclose0.014 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.08401 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson w300icloseclosecloseclosecloseclose0.60406 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW300imobile:featureyescloseclose0.016 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close AccessNetFront Ver. 3.3Feature Phoneyescloseclose0.022 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 13:27:29 | by ThaDafinser