User agent detail

Mozilla/5.0 (Windows NT 6.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1709.117 Amigo/32.0.1709.117 MRCHROME SOC Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-618.php
Amigo 32.0Blink unknownWinVista 6.0unknownWindows DesktopDesktop0 Detail
Providers
BrowscapFull
6014
Amigo 32.0Blink WinVista 6.0Desktop0.015 Detail
BrowscapLite
6014
Chrome closeWinVista closecloseDesktopcloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Amigo 32.0closeWinVista closecloseDesktopclose0.011 Detail
DonatjUAParser
v0.5.1
Chrome 32.0.1709.117closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 32.0.1709.117closeWindows 6.0closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Chrome 32.0.1709.117closeWindows 6.0desktop-browsercloseclose0.24501 Detail
PiwikDeviceDetector
3.6.1
Amigo 32.0Blink Windows Vistadesktop0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 32.0.1709.117closeWindows Vistaclosecloseclosecloseclose0 Detail
UAParser
v3.4.5
Mail.ru Chromium Browser 32.0.1709closeWindows Vista closeclosecloseclose0.005 Detail
UserAgentApiCom

Chrome 32.0.1709.117WebKit 537.36closeclosecloseDesktopclosecloseclose0.15001 Detail
UserAgentStringCom

Chrome 32.0.1709.117closeWindows Vista closecloseclosecloseclose0.10901 Detail
WhatIsMyBrowserCom

Chrome 32.0.1709.117WebKit 537.36Windows Windows NT 6.0closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Chrome Dev 32.0.1709.117Blink Windows Vistadesktopcloseclose0.002 Detail
Woothee
v1.2.0
Chrome 32.0.1709.117closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 32.0.1709.117closeWindows VistaDesktopcloseclose0.017 Detail
Zsxsoft
1.3
Amigo closeWindows Vistacloseclosecloseclosecloseclose0 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 2016-05-10 07:55:12 | by ThaDafinser