User agent detail

SonyEricssonK999/R1FA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.4.3
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonK999 Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.04 Detail
DonatjUAParser
v0.5.0
SonyEricssonK999 R1FAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM AccessNetFront Ver. 3.4mobile-browseryescloseclose0.199 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonK999smartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonK999closeclosecloseclose0.009 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.043 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K999closeclosecloseclosecloseclose0.573 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonK999mobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close AccessNetFront Ver. 3.4Feature Phoneyescloseclose0.016 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 13:26:02 | by ThaDafinser