User agent detail

LG-G922 Obigo/WAP2.0 MIDP-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
LGG922 Detail
Providers
BrowscapPhp
6012
Teleca-Obigo JAVA LGG922Mobile Phoneyes0.007 Detail
DonatjUAParser
v0.5.0
LG-G922 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo WAP 2.0close LGG922mobile-browseryescloseclose0.18802 Detail
PiwikDeviceDetector
3.5.2
Obigo WAP2 LGG922smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 2.0close LGG922closeclosecloseclose0.004 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo WAP2 Browser WAP2 LGLGG922closeclosecloseclosecloseclose0.40604 Detail
WhichBrowser
2.0.10
Obigo WAP 2.0 LGG922mobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Teleca Obigo Q05Aclose Feature Phoneyescloseclose0.021 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 13:43:49 | by ThaDafinser