User agent detail

SAMSUNG-SGH-F488I/1.0 SHP/VPP/R5 NetFront/3.5 SMM-MMS/1.2.0 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-F488I Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.019 Detail
DonatjUAParser
v0.5.0
SAMSUNG-SGH-F488I 1.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.5closeJVM SamsungSGH-F488Imobile-browseryescloseclose0.24402 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront SamsungSGH-F488Ismartphoneyes0.011 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5close SamsungSGH-F488Icloseclosecloseclose0.007 Detail
UserAgentStringCom
NetFront 3.5close closecloseclosecloseclose0.06601 Detail
WhatIsMyBrowserCom
NetFront Samsungcloseclosecloseclosecloseclose0.41204 Detail
WhichBrowser
2.0.10
NetFront 3.5 SamsungSGH-F488Imobile:featureyescloseclose0.021 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.5close SamsungSGH-F488IFeature Phoneyescloseclose0.025 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 13:28:29 | by ThaDafinser