User agent detail

LG/KF390Q/v1.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LGKF390Qclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
LG KF390Qcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close LGKF390Qmobile-browseryescloseclose0.20401 Detail
PiwikDeviceDetector
3.6.1
LGKF390Qsmartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close LGKF390Qcloseclosecloseclose0.003 Detail
UserAgentApiCom

No result found
UserAgentStringCom

No result found
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
LGKF390Qmobile:featureyescloseclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
close LGKF310Feature Phoneyescloseclose0.027 Detail
Zsxsoft
1.3
close LGKF390Qcloseclosecloseclosecloseclose0 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 2016-05-10 08:00:00 | by ThaDafinser