User agent detail

Mozilla/4.0 (compatible; MSIE 4.01; Windows CE; PPC; 240x320; Sprint:PPC-6700; PPC; 240x320)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SprintPPC-6700closecloseclosecloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-windowsmobile.yaml
Pocket Internet Explorer 4.0.1 Windows Mobile PPC6700mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
IEMobile 4.01Trident 3.1WinCE Mobile Phoneyes0.0156 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
IE 4.01closeWin32 closecloseDesktopclose0.0624 Detail
DonatjUAParser
v0.5.1
MSIE 4.01closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 4.01closeWindowsMobileOS closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

IE 4.01closeWindows desktop-browsercloseclose0.2184 Detail
PiwikDeviceDetector
3.6.1
Internet Explorer 4.01Trident Windows CE yes0 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 4.01closeWindows CEclosecloseclosecloseclose0 Detail
UAParser
v3.4.5
IE 4.1closeWindows CE SprintPPC-6700closeclosecloseclose0.0156 Detail
UserAgentApiCom

Internet Explorer 4.01 closeclosecloseDesktopclosecloseclose0.156 Detail
UserAgentStringCom

Internet Explorer 4.01closeWindows CE closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

Internet Explorer 4.1Trident Windows closeclosecloseclosecloseclose0.2496 Detail
WhichBrowser
v2.0.18
Pocket Internet Explorer 4.0.1 Windows Mobile SprintPPC6700mobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Internet Explorer 4.01closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
IE Mobile closeWindows Mobile Sprint6700Feature Phoneyescloseclose0.0312 Detail
Zsxsoft
1.3
Internet Explorer 4.01closeWindows CEcloseclosecloseclosecloseclose0 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 07:50:24 | by ThaDafinser