User agent detail

ERO247 Android Application (13, ero247 v2.1) - alps e1808_v75_jbl1_5640 alps - 00000000-5960-A162-FFFF-FFFFA5707BFB
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
alpse1808_v75_jbl1_5640 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
ERO247 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid mobile-browseryescloseclose0.28797 Detail
PiwikDeviceDetector
3.5.2
Android Browser WebKit Android yes0.007 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
closeAndroid alpse1808_v75_jbl1_5640closeclosecloseclose0.002 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android closeclosecloseclosecloseclose0.41496 Detail
WhichBrowser
2.0.10
Android Browser Android mobile:smartyescloseclose0.16102 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.6.4
Android 3.6closeAndroid 3.6Feature Phoneyesyescloseclose0.06401 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 13:34:53 | by ThaDafinser