User agent detail

AMT Games/SAS3/2.043/__STABLE__ (LG-E460;androidOS;4.1.2;Europe/Berlin;de_DE)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGE460 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
AMT closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
close LGE460;androidOS;4.1.2;Europemobile-browseryescloseclose0.22109 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android LGE460smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
close LGE460closeclosecloseclose0.014 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android LGLGE460closeclosecloseclosecloseclose0.40716 Detail
WhichBrowser
2.0.10
LGE460;androidOS;4.1.2;Europemobile:featureyescloseclose0.016 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Opera 11.10closeLinux armv6l Feature Phoneyescloseclose0.02 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 13:35:31 | by ThaDafinser