User agent detail

BlackBerry8900/4.6.1.199 Profile/MIDP-2.0 Configuration/CLDC-1.1 VendorID/302
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-blackberry.yaml
BlackBerry Browser BlackBerry OS 4.6BlackBerry Curve 8900mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
BlackBerry 4.6 RIM OS 4.6RIMBlackBerry 8900Mobile Phoneyes0.005 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
BlackBerry closeRIM OS closecloseMobile Phoneyesclose0.051 Detail
DonatjUAParser
v0.5.1
BlackBerry8900 4.6.1.199closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeBlackBerryOS 4.6.1.199closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

BlackBerry Browser closeRIM OS RIMBlackBerry 8900mobile-browseryescloseclose0.19801 Detail
PiwikDeviceDetector
3.6.1
BlackBerry Browser BlackBerry OS 4.6RIMBlackBerry 8900smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
BlackBerry 4.6.1.199closeBlackBerry closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
BlackBerry 8900closeBlackBerry OS 4.6.1BlackBerry8900closeclosecloseclose0.006 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.14901 Detail
UserAgentStringCom

BlackBerry closeBlackBerryOS 4.6.1closecloseclosecloseclose0.071 Detail
WhatIsMyBrowserCom

Blackberry Browser 4.6.1.199 BlackBerry OS BlackBerryBlackBerry 8900closeclosecloseclosecloseclose0.23201 Detail
WhichBrowser
v2.0.18
BlackBerry Browser BlackBerry OS 4.6RIMBlackBerry Curve 8900mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
BlackBerry Browser 4.6.1.199closeBlackBerry 4.6.1.199RIMBlackBerry 8900Feature Phoneyescloseclose0.02 Detail
Zsxsoft
1.3
close BlackBerry8900closeclosecloseclosecloseclose0 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 08:10:44 | by ThaDafinser