User agent detail

SonyEricssonK510c/R4CH 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
SonyEricssonK510c Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.06399 Detail
DonatjUAParser
v0.5.0
SonyEricssonK510c R4CHcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonK510cmobile-browseryescloseclose0.19205 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK510cfeature phoneyes0.019 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK510ccloseclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.05301 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K510ccloseclosecloseclosecloseclose0.41108 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK510cmobile:featureyescloseclose0.021 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonK510cFeature Phoneyescloseclose0.035 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 13:35:39 | by ThaDafinser