User agent detail

PantechP5000/JTUS07082013 BMP/1.0.2 DeviceId/141025 NetFront/4.1 OMC/1.5.3 Profile/MIDP-2.1 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
PantechP5000 Detail
Providers
BrowscapPhp
6012
NetFront 4.1NetFront Mobile Deviceyes0.102 Detail
DonatjUAParser
v0.5.0
PantechP5000 JTUS07082013closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 4.1closeJVM PantechP5000mobile-browseryescloseclose0.22102 Detail
PiwikDeviceDetector
3.5.2
NetFront 4.1NetFront Brew 1.0PantechP5000smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 4.1closeBrew MP 1.0.2PantechP5000closeclosecloseclose0.006 Detail
UserAgentStringCom
NetFront 4.1close closecloseclosecloseclose0.05801 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
NetFront 4.1 Brew MP 1.0.2PantechLink IImobile:featureyescloseclose0.009 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 4.1close PantechP5000Feature Phoneyescloseclose0.032 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 13:38:25 | by ThaDafinser