User agent detail

LG-GM360/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 LGGM360 Viewty Snapmobile:featureyes Detail
Providers
BrowscapPhp
6012
Teleca-Obigo JAVA LGGM360Mobile Phoneyes0.008 Detail
DonatjUAParser
v0.5.0
LG-GM360 V100closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Obigo closeJVM LGGM360mobile-browseryescloseclose0.18502 Detail
PiwikDeviceDetector
3.5.2
Obigo WAP2 LGGM360smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 2.0close LGGM360closeclosecloseclose0.006 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo WAP2 Browser WAP2 LGLGGM360closeclosecloseclosecloseclose0.42604 Detail
WhichBrowser
2.0.10
Obigo WAP 2.0 LGGM360 Viewty Snapmobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGGM360Feature Phoneyescloseclose0.012 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 13:32:48 | by ThaDafinser