User agent detail

SonyEricssonW660iv/R6AA 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
SonyEricssonW660iv Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.036 Detail
DonatjUAParser
v0.5.0
SonyEricssonW660iv R6AAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW660ivmobile-browseryescloseclose0.19698 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonW660ivfeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW660ivcloseclosecloseclose0.015 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.08299 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W660ivcloseclosecloseclosecloseclose0.41696 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW660ivmobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW660ivFeature Phoneyescloseclose0.029 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 13:34:47 | by ThaDafinser