User agent detail

Mozilla/4.0 (compatible; MSIE 4.01; Windows NT Windows CE)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/unknown.yml
Internet Explorer 4.01Windows CE Trident Detail
Providers
BrowscapPhp
6012
IE 4.01Trident WinNT Windows DesktopDesktop0.06401 Detail
DonatjUAParser
v0.5.0
MSIE 4.01closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
IE 4.01closeWindows desktop-browsercloseclose0.20302 Detail
PiwikDeviceDetector
3.5.2
Internet Explorer 4.01Trident Windows CE yes0.009 Detail
SinergiBrowserDetector
6.0.0
Internet Explorer 4.01closeWindows closecloseclosecloseclose0 Detail
UAParser
v3.4.5
IE 4.1closeWindows CE closeclosecloseclose0.004 Detail
UserAgentStringCom
Internet Explorer 4.01closeWindows CE closecloseclosecloseclose0.18502 Detail
WhatIsMyBrowserCom
Internet Explorer 4.1Trident Windows closeclosecloseclosecloseclose0.40604 Detail
WhichBrowser
2.0.10
Mobile Internet Explorer 4.0.1 Windows CE mobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
Internet Explorer 4.01closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
IE Mobile closeWindows Mobile Feature Phoneyescloseclose0.014 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 13:32:50 | by ThaDafinser