User agent detail

LG/KF750/v10a Browser/Obigo-Q05A/3.12 MMS/LG-MMS-V1.0/1.2 Java/ASVM/1.1 Profile/MIDP-2.1 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/browser-obigo.yaml
Obigo Q 5A LGKF750mobile:featureyes Detail
Providers
BrowscapPhp
6012
Teleca-Obigo 5.0 JAVA Mobile Phoneyes0.034 Detail
DonatjUAParser
v0.5.0
LG KF750closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo closeJVM LGKF750mobile-browseryescloseclose0.19304 Detail
PiwikDeviceDetector
3.5.2
Obigo LGKF750smartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 5close LGKF750closeclosecloseclose0.017 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesJavaCrawler0.08202 Detail
WhatIsMyBrowserCom
Obigo Browser LGLGMMScloseclosecloseclosecloseclose0.69914 Detail
WhichBrowser
2.0.10
Obigo Q 5A LGKF750mobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGKF750Feature Phoneyesyescloseclose0.031 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 13:35:42 | by ThaDafinser