User agent detail

WhatsApp/2.11.175 Android/4.2.2 Device/LENOVO-LIFETAB_E10316
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LenovoLIFETAB_E10316 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
WhatsApp 2.11.175closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Android Browser closeAndroid 4.2.2MedionLifetab E10316mobile-browseryescloseclose0.28103 Detail
PiwikDeviceDetector
3.5.2
WhatsApp 2.11 Android 4.2LenovoLIFETAB E10316smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
closeAndroid 4.2.2LenovoLIFETAB_E10316closeclosecloseclose0.001 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android closeclosecloseclosecloseclose0.40704 Detail
WhichBrowser
2.0.10
WhatsApp 2.11 Android 4.2.2MedionLifetab E10316tabletyescloseclose0.12 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android Webkit 4.2closeAndroid 4.2Smartphoneyesyescloseclose0.045 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 13:40:27 | by ThaDafinser