User agent detail

BlackBerry9700/6.6.0.124 Profile/MIDP-2.0 Configuration/CLDC-1.1/UCWEB8.1.0.104/159/800
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-blackberry.yaml
UC Browser 8.1Gecko BlackBerry OS 6.6BlackBerry Bold 9700mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
BlackBerry RIM OS RIMBlackberryMobile Phoneyes0.022 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
BlackBerry closeRIM OS closecloseMobile Phoneyesclose0.048 Detail
DonatjUAParser
v0.5.1
BlackBerry9700 6.6.0.124closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
UCBrowser closeBlackBerryOS 6.6.0.124closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

BlackBerry Browser closeRIM OS RIMBlackBerry 9700mobile-browseryescloseclose0.21101 Detail
PiwikDeviceDetector
3.6.1
UC Browser 8.1 BlackBerry OS 6.6RIMBlackBerry 9700smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
BlackBerry 6.6.0.124closeBlackBerry closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
UC Browser 8.1.0closeBlackBerry OS 6.6.0BlackBerry9700closeclosecloseclose0.001 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

UC Browser closeBlackBerryOS 8.1.0closecloseclosecloseclose0.069 Detail
WhatIsMyBrowserCom

Blackberry Browser 6.6.0.124 BlackBerry OS BlackBerryBlackBerry 9700closeclosecloseclosecloseclose0.25002 Detail
WhichBrowser
v2.0.18
UC Browser 8.1Gecko BlackBerry OS 6.6RIMBlackBerry Bold 9700mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
BlackBerry Browser 6.6.0.124closeBlackBerry 6.6.0.124RIMBlackBerry 9700Feature Phoneyescloseclose0.02 Detail
Zsxsoft
1.3
UC Browser 8.1.0.104close BlackBerry9700closeclosecloseclosecloseclose0 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 08:06:39 | by ThaDafinser