User agent detail

Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.80 Safari/537.36 ASW/1.46.1990.55
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-848.php
Avast SafeZone 1.46Blink unknownWin10 10.0unknownWindows DesktopDesktop0 Detail
Providers
BrowscapFull
6014
Avast SafeZone 1.46Blink Win10 10.0Desktop0.014 Detail
BrowscapLite
6014
Chrome 46.0closeWin10 closecloseDesktopcloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Avast SafeZone 1.46closeWin10 closecloseDesktopclose0.013 Detail
DonatjUAParser
v0.5.1
Chrome 46.0.2490.80closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 46.0.2490.80closeWindows 10.0closecloseclosecloseclose0 Detail
NeutrinoApiCom

Chrome 46.0.2490.80closeWindows 10.0desktop-browsercloseclose0.27202 Detail
PiwikDeviceDetector
3.6.1
Chrome 46.0Blink Windows 10desktop0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 46.0.2490.80closeWindows 10.0closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 46.0.2490closeWindows 10 closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 46.0.2490.80WebKit 537.36closeclosecloseDesktopclosecloseclose0.16601 Detail
UserAgentStringCom

Chrome 46.0.2490.80closeWindows 10 closecloseclosecloseclose0.07501 Detail
WhatIsMyBrowserCom

Chrome 46.0.2490.80WebKit 537.36Windows Windows NT 10.0closeclosecloseclosecloseclose0.24601 Detail
WhichBrowser
v2.0.18
Chrome 46Blink Windows 10desktopcloseclose0.001 Detail
Woothee
v1.2.0
Chrome 46.0.2490.80closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 46.0.2490.80closeWindows 10Desktopcloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 46.0.2490.80closeWindows 10closeclosecloseclosecloseclose0 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 07:56:34 | by ThaDafinser