User agent detail

Mozilla/2.0 (compatible; MSIE 3.02; Windows CE; PPC; 240x320) BlackBerry8800/4.2.1 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/175
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
BlackBerry8800 Detail
Providers
BrowscapPhp
6012
Netscape 2.0Gecko Desktop0.008 Detail
DonatjUAParser
v0.5.0
MSIE 3.02closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
BlackBerry Browser closeRIM OS RIMBlackBerry 8800mobile-browseryescloseclose0.18402 Detail
PiwikDeviceDetector
3.5.2
Internet Explorer 3.02Trident Windows CE RIMBlackBerry 8800smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
Internet Explorer 3.02closeWindows CEclosecloseclosecloseclose0 Detail
UAParser
v3.4.5
BlackBerry 8800closeWindows CE BlackBerry8800closeclosecloseclose0.009 Detail
UserAgentStringCom
Internet Explorer 3.02closeWindows CE closecloseclosecloseclose0.05701 Detail
WhatIsMyBrowserCom
Blackberry Browser 4.2.1 BlackBerry OS closeclosecloseclosecloseclose0.41304 Detail
WhichBrowser
2.0.10
Mobile Internet Explorer 3.0.2 BlackBerry OS 4.2RIM240mobile:smartyescloseclose0.008 Detail
Woothee
v1.2.0
Internet Explorer 3.02closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.6.4
IE Mobile closeWindows Mobile RIMBlackBerry 8800Feature Phoneyescloseclose0.105 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 13:40:21 | by ThaDafinser