User agent detail

LG-GT350/V100 Obigo/WAP2.0 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 WAP 2.0 LGGT350mobile:featureyes Detail
Providers
BrowscapPhp
6012
Teleca-Obigo JAVA LGGT350Mobile Phoneyes0.007 Detail
DonatjUAParser
v0.5.0
LG-GT350 V100closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo closeJVM LGLG-GT350mobile-browseryescloseclose0.183 Detail
PiwikDeviceDetector
3.5.2
Obigo WAP2 LGGT350smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 2.0close LGGT350closeclosecloseclose0.011 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo WAP2 Browser WAP2 LGLGGT350closeclosecloseclosecloseclose0.408 Detail
WhichBrowser
2.0.10
Obigo WAP 2.0 LGGT350mobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGLG-GT350Feature Phoneyesyescloseclose0.013 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 13:27:04 | by ThaDafinser