User agent detail

HTTP/1.1 SonyEricssonK510i/R4CJ+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
SonyEricssonK510i Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.027 Detail
DonatjUAParser
v0.5.0
HTTP 1.1closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM AccessNetFront Ver. 3.3mobile-browseryescloseclose0.19302 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK510ifeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK510icloseclosecloseclose0.007 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.05801 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K510icloseclosecloseclosecloseclose0.41704 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK510imobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close AccessNetFront Ver. 3.3Feature 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 13:32:28 | by ThaDafinser