User agent detail

SonyEricssonZ558i/R4FA 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
SonyEricssonZ558i Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.033 Detail
DonatjUAParser
v0.5.0
SonyEricssonZ558i R4FAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonZ558imobile-browseryescloseclose0.18702 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonZ558ifeature phoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonZ558icloseclosecloseclose0.009 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.04701 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson Z558icloseclosecloseclosecloseclose0.40804 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonZ558imobile:featureyescloseclose0.016 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonZ558iFeature 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 13:27:20 | by ThaDafinser