User agent detail

SonyEricssonK660/R1FA Browser/NetFront/3.4 Profile/MIDP-2.1 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
SonyEricssonK660 Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.05401 Detail
DonatjUAParser
v0.5.0
SonyEricssonK660 R1FAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonK660imobile-browseryescloseclose0.184 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonK660smartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonK660closeclosecloseclose0.015 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.049 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K660closeclosecloseclosecloseclose0.424 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonK660mobile:featureyescloseclose0.015 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonK660iFeature 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 13:27:38 | by ThaDafinser