User agent detail

SAMSUNG-SGH-T249R/ NetFront/3.5 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
SamsungSGH-T249R Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.016 Detail
DonatjUAParser
v0.5.0
SAMSUNG-SGH-T249R closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.5closeJVM AccessNetFront Ver. 3.5mobile-browseryescloseclose0.18802 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront SamsungSGH-T249Rsmartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5close SamsungSGH-T249Rcloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.5close closecloseclosecloseclose0.07601 Detail
WhatIsMyBrowserCom
NetFront Samsungcloseclosecloseclosecloseclose0.45304 Detail
WhichBrowser
2.0.10
NetFront 3.5 SamsungSGH-T249Rmobile:featureyescloseclose0.023 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.5close AccessNetFront Ver. 3.5Feature 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 13:30:05 | by ThaDafinser