User agent detail

WhatsApp/2.11.175 Android/4.2.1 Device/LENOVO-Lenovo_P780
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LenovoLenovo_P780 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
WhatsApp 2.11.175closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid 4.2.1LenovoP780mobile-browseryescloseclose0.28503 Detail
PiwikDeviceDetector
3.5.2
WhatsApp 2.11 Android 4.2LenovoP780smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
closeAndroid 4.2.1LenovoLenovo_P780closeclosecloseclose0.008 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android closeclosecloseclosecloseclose0.41104 Detail
WhichBrowser
2.0.10
WhatsApp 2.11 Android 4.2.1LenovoP780mobile:smartyescloseclose0.09101 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android Webkit 4.2closeAndroid 4.2Smartphoneyesyescloseclose0.053 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 13:30:12 | by ThaDafinser