User agent detail

Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.10162
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/desktop/browser-edge.yaml
Edge 12 Windows 10EdgeHTML 12desktop Detail
Providers
BrowscapPhp
6012
Edge 12.0Edge 12.0Win10 10.0Windows DesktopDesktop0.017 Detail
DonatjUAParser
v0.5.0
Edge 12.10162closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Chrome 42.0.2311.135closeWindows 10.0desktop-browsercloseclose0.18402 Detail
PiwikDeviceDetector
3.5.2
Microsoft Edge 12.10162Edge Windows 10desktop0.004 Detail
SinergiBrowserDetector
6.0.0
Edge 12.10162closeWindows 10.0closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Edge 12.10162closeWindows 10 closeclosecloseclose0.004 Detail
UserAgentStringCom
Edge 12.10162closeWindows 10 closecloseclosecloseclose0.12301 Detail
WhatIsMyBrowserCom
Edge 12.10162WebKit 537.36Windows Windows NT 10.0closeclosecloseclosecloseclose0.40704 Detail
WhichBrowser
2.0.10
Edge 12 EdgeHTML 12Windows 10desktopcloseclose0.005 Detail
Woothee
v1.2.0
Edge 12.10162closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
IE 12.10162closeWindows 10Desktopcloseclose0.012 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 13:31:08 | by ThaDafinser