User agent detail

Mozilla/5.0 (Windows NT 10.0; Win64; x64; Xbox; Xbox One) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.10586
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/gaming/microsoft.yaml
Edge 13EdgeHTML 13.10586Windows 10Xbox Onegaming:consoleclosecloseclose0 Detail
Providers
BrowscapFull
6014
Edge 13.0Edge 13.0Win10 10.0Desktop0.014 Detail
BrowscapLite
6014
Edge 13.0closeWin10 closecloseDesktopcloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Edge 13.0closeWin10 closecloseDesktopclose0.024 Detail
DonatjUAParser
v0.5.1
Edge 13.10586closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Edge 13.10586closeWindows 10.0closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Chrome 46.0.2486.0closeWindows 10.0desktop-browsercloseclose0.21301 Detail
PiwikDeviceDetector
3.6.1
Microsoft Edge 13.10586Edge Windows 10MicrosoftXbox Oneconsole0.003 Detail
SinergiBrowserDetector
6.0.1
Edge 13.10586closeWindows 10.0closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Edge 13.10586closeWindows 10 closeclosecloseclose0.002 Detail
UserAgentApiCom

Microsoft Edge 13.10586WebKit 537.36closeclosecloseDesktopclosecloseclose0.17001 Detail
UserAgentStringCom

Edge 13.10586closeWindows 10 closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

Edge 13.10586WebKit 537.36Windows Windows NT 10.0closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
Edge 13EdgeHTML 13.10586Windows 10MicrosoftXbox Onegaming:consolecloseclose0.002 Detail
Woothee
v1.2.0
Xbox One 13.10586closecloseclosecloseapplianceclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Edge 13.10586closeWindows 10MicrosoftXbox 360Smart-TVcloseclose0.015 Detail
Zsxsoft
1.3
Edge 13.10586closeWindows 10closeclosecloseclosecloseclose0.001 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 08:02:45 | by ThaDafinser