User agent detail

Mozilla/2.0 (compatible; MSIE 3.02; Windows CE; PPC; 240x320) BlackBerry8700/4.1.0 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/102 UP.Link/6.3.0.0.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close BlackBerry8700closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
BlackBerry 4.1 WinCE RIMBlackBerry 8700Mobile Phoneyes0.008 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Netscape 2.0close closecloseDesktopclose0.01 Detail
DonatjUAParser
v0.5.1
MSIE 3.02closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
IE 3.02closeBlackBerryOS 4.1.0closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

BlackBerry Browser closeRIM OS RIMBlackBerry 8700mobile-browseryescloseclose0.20601 Detail
PiwikDeviceDetector
3.6.1
Internet Explorer 3.02Trident Windows CE RIMBlackBerry 8700smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 3.02closeWindows CEclosecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
BlackBerry 8700closeWindows CE BlackBerry8700closeclosecloseclose0.002 Detail
UserAgentApiCom

Internet Explorer 3.02 closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Internet Explorer 3.02closeWindows CE closecloseclosecloseclose0.08801 Detail
WhatIsMyBrowserCom

Blackberry Browser 4.1.0 BlackBerry OS closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Pocket Internet Explorer 3.0.2 BlackBerry OS 4.1RIM240mobile:smartyescloseclose0.004 Detail
Woothee
v1.2.0
Internet Explorer 3.02closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
IE Mobile closeWindows Mobile RIMBlackBerry 8700Feature Phoneyescloseclose0.027 Detail
Zsxsoft
1.3
Openwave Mobile Browser 6.3.0.0.0closeWindows CEBlackBerry8700closeclosecloseclosecloseclose0.001 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 07:59:24 | by ThaDafinser