User agent detail

SonyEricssonW595s/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
SonyEricssonW595s Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.05101 Detail
DonatjUAParser
v0.5.0
SonyEricssonW595s R3DAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonW595smobile-browseryescloseclose0.19502 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonW595sfeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonW595scloseclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.07801 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W595scloseclosecloseclosecloseclose0.40504 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonW595smobile:featureyescloseclose0.019 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonW595sFeature Phoneyescloseclose0.026 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 13:25:19 | by ThaDafinser