User agent detail

SonyEricssonW350c/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
SonyEricssonW350c Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.037 Detail
DonatjUAParser
v0.5.0
SonyEricssonW350c R10BAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW350amobile-browseryescloseclose0.20102 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonW350cfeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW350ccloseclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.044 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W350ccloseclosecloseclosecloseclose0.40804 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW350cmobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW350aFeature Phoneyescloseclose0.039 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 13:28:13 | by ThaDafinser