User agent detail

LG-LG500G/V100[TFXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX] Obigo/WAP2.0 Profile/MIDP-2.1 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
LG500G Detail
Providers
BrowscapPhp
6012
Teleca-Obigo JAVA Mobile Phoneyes0.058 Detail
DonatjUAParser
v0.5.0
LG-LG500G V100closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo closeJVM LG500Gmobile-browseryescloseclose0.18602 Detail
PiwikDeviceDetector
3.5.2
Obigo WAP2 LG500Gsmartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 2.0close LG500Gcloseclosecloseclose0.011 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo WAP2 Browser WAP2 LGLGLG500Gcloseclosecloseclosecloseclose0.41804 Detail
WhichBrowser
2.0.10
Obigo WAP 2.0 LGLG500Gmobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LG500GFeature Phoneyescloseclose0.044 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 13:28:56 | by ThaDafinser