User agent detail

Mozilla/5.0 (X11; CYGWIN_NT-6.1) AppleWebKit/537.32 (KHTML, like Gecko) Chrome/18.0.1025.133 Safari/537.32 Midori/0.5
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/desktop/browser-midori.yaml
Midori 0.5 Webkit 537.32desktop Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
Midori 0.5closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Midori 0.5close desktop-browsercloseclose0.20002 Detail
PiwikDeviceDetector
3.5.2
Midori 0.5WebKit Windows 7desktop0.005 Detail
SinergiBrowserDetector
6.0.0
Chrome 18.0.1025.133close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 18.0.1025close closeclosecloseclose0.007 Detail
UserAgentStringCom
Midori 0.5close closecloseclosecloseclose0.06801 Detail
WhatIsMyBrowserCom
Midori 0.5WebKit 537.32Windows closeclosecloseclosecloseclose0.41904 Detail
WhichBrowser
2.0.10
Midori 0.5Webkit 537.32 desktopcloseclose0.003 Detail
Woothee
v1.2.0
Chrome 18.0.1025.133closecloseclosecloseclosecloseclose0 Detail
Wurfl
1.6.4
Chrome 18.0.1025.133closeWindows VistaDesktopcloseclose0.012 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 13:36:20 | by ThaDafinser