User agent detail

Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) MxNitro/1.1.0.2000 Chrome/39.0.2146.0 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-712.php
Maxthon Nitro 1.1Blink unknownWin8 6.2unknownWindows DesktopDesktop0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/browser-maxthon.yaml
Maxthon Nitro 1.1.0Blink Windows 8desktopclosecloseclose0 Detail
Providers
BrowscapFull
6014
Maxthon Nitro 1.1Blink Win8 6.2Desktop0.046 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Maxthon Nitro 1.1closeWin8 closecloseDesktopclose0.02 Detail
DonatjUAParser
v0.5.1
Chrome 39.0.2146.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 39.0.2146.0closeWindows 6.2closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Chrome 39.0.2146.0closeWindows 6.2desktop-browsercloseclose0.20501 Detail
PiwikDeviceDetector
3.6.1
Chrome 39.0Blink Windows 8desktop0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 39.0.2146.0closeWindows 8closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 39.0.2146closeWindows 8 closeclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 39.0.2146.0WebKit 537.36closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

Chrome 39.0.2146.0closeWindows 8 closecloseclosecloseclose0.16101 Detail
WhatIsMyBrowserCom

Chrome 39.0.2146.0WebKit 537.36Windows Windows NT 6.2closeclosecloseclosecloseclose0.25101 Detail
WhichBrowser
v2.0.18
Maxthon Nitro 1.1.0Blink Windows 8desktopcloseclose0.003 Detail
Woothee
v1.2.0
Chrome 39.0.2146.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 39.0.2146.0closeWindows 8Desktopcloseclose0.019 Detail
Zsxsoft
1.3
MxNitro 1.1.0.2000closeWindows 8closeclosecloseclosecloseclose0 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 08:05:56 | by ThaDafinser