User agent detail

LGE-LG570V AU-OBIGO/Q04C1-1.27 MMP/2.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LG570V Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
LGE-LG570V closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo Q 4close LGLG570Vmobile-browseryescloseclose0.18604 Detail
PiwikDeviceDetector
3.5.2
LG570Vsmartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 4.1close LG570Vcloseclosecloseclose0.01 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo Q04C1 Browser Q04C1 closeclosecloseclosecloseclose0.40908 Detail
WhichBrowser
2.0.10
Obigo Q 4C LGLG570Vmobile:featureyescloseclose0.017 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
close LGLG570VFeature Phoneyescloseclose0.03001 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 13:41:51 | by ThaDafinser