User agent detail

PantechP9050/JJUS05312010 NetFront/3.5 OMC/1.5.3 Profile/MIDP-2.1 Configuration/CLDC-1.1 RMC/2.06.5 P11/01.02.02
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
PantechP9050 Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.08 Detail
DonatjUAParser
v0.5.0
PantechP9050 JJUS05312010closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.5closeJVM AccessNetFront Ver. 3.5mobile-browseryescloseclose0.188 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront PantechP9050smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5close PantechP9050closeclosecloseclose0.004 Detail
UserAgentStringCom
NetFront 3.5close closecloseclosecloseclose0.1 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.408 Detail
WhichBrowser
2.0.10
NetFront 3.5 PantechLasermobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.5close PantechP9050Feature Phoneyesyescloseclose0.036 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 13:36:55 | by ThaDafinser