User agent detail

PANTECH-P4000/R01 Browser/Obigo/Q03C 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
PantechP4000 Detail
Providers
BrowscapPhp
6012
Teleca-Obigo JAVA Mobile Phoneyes0.041 Detail
DonatjUAParser
v0.5.0
PANTECH-P4000 R01closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo closeJVM PantechP4000mobile-browseryescloseclose0.19702 Detail
PiwikDeviceDetector
3.5.2
Obigo Q03C PantechP4000smartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 3close PantechP4000closeclosecloseclose0.007 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo Q03C Browser Q03C closeclosecloseclosecloseclose0.40104 Detail
WhichBrowser
2.0.10
Obigo Q 3C PantechP4000mobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Teleca Obigo Q03Cclose PantechP4000Feature Phoneyescloseclose0.024 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 13:33:35 | by ThaDafinser