User agent detail

Mozilla/5.0 (Windows NT 10.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/14.11111
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/desktop/browser-edge.yaml
Edge 14 Windows 10EdgeHTML 14desktop Detail
Providers
BrowscapPhp
6012
Chrome 46.0Blink Win32 Windows DesktopDesktop0.308 Detail
DonatjUAParser
v0.5.0
Edge 14.11111closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Chrome 46.0.2486.0closeWindows 10.1desktop-browsercloseclose0.18502 Detail
PiwikDeviceDetector
3.5.2
Microsoft Edge 14.11111Edge Windows NTdesktop0.005 Detail
SinergiBrowserDetector
6.0.0
Edge 14.11111closeWindows 10.1closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Edge 14.11111closeWindows closeclosecloseclose0.018 Detail
UserAgentStringCom
Edge 14.11111closeWindows NT closecloseclosecloseclose0.06201 Detail
WhatIsMyBrowserCom
Edge 14.11111WebKit 537.36Windows closeclosecloseclosecloseclose0.41904 Detail
WhichBrowser
2.0.10
Edge 14 EdgeHTML 14Windows 10desktopcloseclose0.003 Detail
Woothee
v1.2.0
Edge 14.11111closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
Safari 8.0closeFedora Desktopcloseclose0.009 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 13:28:21 | by ThaDafinser