User agent detail

SonyEricssonsakamoto/R1GA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.4.4
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonsakamoto Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.036 Detail
DonatjUAParser
v0.5.0
SonyEricssonsakamoto R1GAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM AccessNetFront Ver. 3.4mobile-browseryescloseclose0.294 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony Ericssonsakamotosmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonsakamotocloseclosecloseclose0.015 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.426 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson sakamotocloseclosecloseclosecloseclose0.429 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony Ericssonsakamotomobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close AccessNetFront Ver. 3.4Feature Phoneyescloseclose0.082 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 13:29:45 | by ThaDafinser