User agent detail

Mozilla/5.0 (Windows NT 6.3; Trident/7.0; rv:11.0) like Gecko AppEngine-Google; (+http://code.google.com/appengine; appid: s~oowsxs)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/bots/generic.yaml
yesGoogle App Engine Detail
Providers
BrowscapPhp
6012
IE 11.0Trident 7.0Win8.1 6.3Windows DesktopDesktop0.10901 Detail
DonatjUAParser
v0.5.0
MSIE 11.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
IE 11.0closeWindows 6.3desktop-browsercloseclose0.197 Detail
PiwikDeviceDetector
3.5.2
Internet Explorer 11.0Trident Windows 8.1desktop0.011 Detail
SinergiBrowserDetector
6.0.0
Internet Explorer 11.0closeWindows 8.1closecloseclosecloseclose0 Detail
UAParser
v3.4.5
close closeclosecloseyesAppEngine-Googleclose0.003 Detail
UserAgentStringCom
Internet Explorer 11.0closeWindows NT closecloseclosecloseclose0.092 Detail
WhatIsMyBrowserCom
Internet Explorer 11.0Trident 7.0Windows Windows NT 6.3closeclosecloseclosecloseclose0.372 Detail
WhichBrowser
2.0.10
closeyesGoogle App Engineclose0.013 Detail
Woothee
v1.2.0
closecloseclosecloseclosecloseyesGoogle AppEngineclose0 Detail
Wurfl
1.6.4
IE 11closeWindows 7Desktopcloseclose0.01 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 13:26:59 | by ThaDafinser