User agent detail

SonyEricssonK320c/R4EA 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
SonyEricssonK320c Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.041 Detail
DonatjUAParser
v0.5.0
SonyEricssonK320c R4EAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonK320imobile-browseryescloseclose0.18402 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK320cfeature phoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK320ccloseclosecloseclose0.008 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.06001 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K320ccloseclosecloseclosecloseclose0.41104 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK320cmobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonK320iFeature 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 13:26:40 | by ThaDafinser