User agent detail

SonyEricssonW595c/R3DA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.3.2
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonW595c Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.045 Detail
DonatjUAParser
v0.5.0
SonyEricssonW595c R3DAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonW595mobile-browseryescloseclose0.197 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonW595cfeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonW595ccloseclosecloseclose0.001 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.047 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W595ccloseclosecloseclosecloseclose0.416 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonW595cmobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonW595Feature Phoneyescloseclose0.024 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 13:27:38 | by ThaDafinser