User agent detail

SonyEricssonW350a/R10AB 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
SonyEricssonW350a Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.05701 Detail
DonatjUAParser
v0.5.0
SonyEricssonW350a R10ABcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW350amobile-browseryescloseclose0.18802 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonW350afeature phoneyes0.01 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW350acloseclosecloseclose0.004 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.054 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W350acloseclosecloseclosecloseclose0.40504 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW350amobile:featureyescloseclose0.021 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW350aFeature Phoneyescloseclose0.025 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 13:30:23 | by ThaDafinser