User agent detail

WhatsApp/2.11.102 Android/4.0.3 Device/LENOVO-IdeaTab_A2107A-H
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LenovoIdeaTab_A2107A-H Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
WhatsApp 2.11.102closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid 4.0.3LenovoIdeaTab A2107mobile-browseryescloseclose0.32119 Detail
PiwikDeviceDetector
3.5.2
WhatsApp 2.11 Android 4.0LenovoIdeaTab A2107A-Hsmartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
closeAndroid 4.0.3LenovoIdeaTab_A2107A-Hcloseclosecloseclose0.002 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android closeclosecloseclosecloseclose0.40724 Detail
WhichBrowser
2.0.10
WhatsApp 2.11 Android 4.0.3LenovoIdeaTab A2107tabletyescloseclose0.14602 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
Android Webkit 4.0closeAndroid 4.0Smartphoneyesyescloseclose0.058 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 13:37:07 | by ThaDafinser