User agent detail

LG-GM205Obigo/WAP2.0MIDP-2.0/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
LGGM205Obigo Detail
Providers
BrowscapPhp
6012
Teleca-Obigo JAVA Mobile Phoneyes0.031 Detail
DonatjUAParser
v0.5.0
LG-GM205Obigo WAP2.0MIDPcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo WAP close LGGM205Obigomobile-browseryescloseclose0.19508 Detail
PiwikDeviceDetector
3.5.2
LGGM205Obigosmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 2.0close LGGM205Obigocloseclosecloseclose0.006 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo WAP2 Browser WAP2 LGLGGM205Obigocloseclosecloseclosecloseclose0.41417 Detail
WhichBrowser
2.0.10
Obigo WAP 2.0M LGGM205Obigomobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGGM205Feature Phoneyescloseclose0.04099 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 13:35:34 | by ThaDafinser