User agent detail

Mozilla/4.0 (compatible; MSIE 4.01; Windows CE; PPC i-mate JAQ3; 240x320; PPC)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close i-mateJAQ3closecloseclosecloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-windowsmobile.yaml
Pocket Internet Explorer 4.0.1 Windows Mobile JAQ3mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
IEMobile 4.01Trident 3.1WinCE Mobile Phoneyes0.0156 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
IE 4.01closeWin32 closecloseDesktopclose0.041 Detail
DonatjUAParser
v0.5.1
MSIE 4.01closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 4.01closeWindowsMobileOS closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

IE 4.01closeWindows desktop-browsercloseclose0.25101 Detail
PiwikDeviceDetector
3.6.1
Internet Explorer 4.01Trident Windows CE i-mateJAQ3feature phoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 4.01closeWindows CEclosecloseclosecloseclose0 Detail
UAParser
v3.4.5
IE 4.1closeWindows CE i-mateJAQ3closeclosecloseclose0.007 Detail
UserAgentApiCom

Internet Explorer 4.01 closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

Internet Explorer 4.01closeWindows CE closecloseclosecloseclose0.063 Detail
WhatIsMyBrowserCom

Internet Explorer 4.1Trident Windows closeclosecloseclosecloseclose0.24601 Detail
WhichBrowser
v2.0.18
Pocket Internet Explorer 4.0.1 Windows Mobile i-mateJAQ3mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Internet Explorer 4.01closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
IE Mobile closeWindows Mobile i-mateJaq3Feature Phoneyescloseclose0.019 Detail
Zsxsoft
1.3
Internet Explorer 4.01closeWindows CEcloseclosecloseclosecloseclose0.001 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 2016-05-10 07:53:54 | by ThaDafinser