User agent detail

Mozilla/4.0 (compatible; MSIE 4.01; Windows CE; PPC i-mate JAQ; 240x320)/UC Browser7.7.1.88
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
i-mateJAQ Detail
Providers
BrowscapPhp
6012
IEMobile 4.01Trident 3.1WinCE Mobile Phoneyes0.019 Detail
DonatjUAParser
v0.5.0
MSIE 4.01closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
IE 4.01closeWindows desktop-browsercloseclose0.189 Detail
PiwikDeviceDetector
3.5.2
UC Browser 7.7 Windows CE i-mateJAQfeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
Internet Explorer 4.01closeWindows CEclosecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 7.7.1closeWindows CE i-mateJAQcloseclosecloseclose0.003 Detail
UserAgentStringCom
Internet Explorer 4.01closeWindows CE closecloseclosecloseclose0.046 Detail
WhatIsMyBrowserCom
UC Browser 7.7.1.88 Windows closeclosecloseclosecloseclose0.405 Detail
WhichBrowser
2.0.10
UC Browser 7.7Gecko Windows CE mobile:featureyescloseclose0.016 Detail
Woothee
v1.2.0
Internet Explorer 4.01closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.6.4
IE Mobile closeWindows Mobile Feature Phoneyescloseclose0.065 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 13:29:24 | by ThaDafinser