User agent detail

LG-MU550 Obigo/WAP2.0 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
LGMU550 Detail
Providers
BrowscapPhp
6012
Teleca-Obigo JAVA Mobile Phoneyes0.02201 Detail
DonatjUAParser
v0.5.0
LG-MU550 closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Obigo closeJVM LGMU550mobile-browseryescloseclose0.189 Detail
PiwikDeviceDetector
3.5.2
Obigo WAP2 LGMU550smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 2.0close LGMU550closeclosecloseclose0.004 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo WAP2 Browser WAP2 LGLGMU550closeclosecloseclosecloseclose0.404 Detail
WhichBrowser
2.0.10
Obigo WAP 2.0 LGMU550mobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGMU550Feature Phoneyescloseclose0.03101 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 13:41:38 | by ThaDafinser