User agent detail

Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.10537
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/desktop/browser-edge.yaml
Edge 13 Windows 10EdgeHTML 13desktop Detail
Providers
BrowscapPhp
6012
Edge 13.0Edge 13.0Win10 10.0Windows DesktopDesktop0.016 Detail
DonatjUAParser
v0.5.0
Edge 13.10537closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Chrome 46.0.2486.0closeWindows 10.0desktop-browsercloseclose0.184 Detail
PiwikDeviceDetector
3.5.2
Microsoft Edge 13.10537Edge Windows 10desktop0.005 Detail
SinergiBrowserDetector
6.0.0
Edge 13.10537closeWindows 10.0closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Edge 13.10537closeWindows 10 closeclosecloseclose0.01 Detail
UserAgentStringCom
Edge 13.10537closeWindows 10 closecloseclosecloseclose0.061 Detail
WhatIsMyBrowserCom
Edge 13.10537WebKit 537.36Windows Windows NT 10.0closeclosecloseclosecloseclose0.406 Detail
WhichBrowser
2.0.10
Edge 13 EdgeHTML 13Windows 10desktopcloseclose0.008 Detail
Woothee
v1.2.0
Edge 13.10537closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
Safari 8.0closeFedora Desktopcloseclose0.008 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 13:31:05 | by ThaDafinser