User agent detail

WhatsApp/2.11.104 Android/2.3.7 Device/HTC-HTC_Tattoo
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
HTCHTC_Tattoo Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
WhatsApp 2.11.104closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid 2.3.7HTCTattoomobile-browseryescloseclose0.27003 Detail
PiwikDeviceDetector
3.5.2
WhatsApp 2.11 Android 2.3HTCHTC Tattoosmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
closeAndroid 2.3.7HTCHTC_Tattoocloseclosecloseclose0.034 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android HTC HTCcloseclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
WhatsApp 2.11 Android 2.3.7HTCTattoomobile:smartyescloseclose0.13601 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.6.4
Android Webkit 2.3closeAndroid 2.3Smartphoneyesyescloseclose0.07601 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 13:32:07 | by ThaDafinser