User agent detail

BlackBerry9100/6.6.0.248 Profile/MIDP-2.0 Configuration/CLDC-1.1/UCWEB8.1.0.104/159/999
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 Pearl 9100mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
BlackBerry RIM OS RIMBlackberryMobile Phoneyes0.025 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
BlackBerry closeRIM OS closecloseMobile Phoneyesclose0.064 Detail
DonatjUAParser
v0.5.1
BlackBerry9100 6.6.0.248closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
UCBrowser closeBlackBerryOS 6.6.0.248closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

BlackBerry Browser closeRIM OS RIMBlackBerry 9100mobile-browseryescloseclose0.22101 Detail
PiwikDeviceDetector
3.6.1
UC Browser 8.1 BlackBerry OS 6.6RIMBlackBerry 9100smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
BlackBerry 6.6.0.248closeBlackBerry closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 8.1.0closeBlackBerry OS 6.6.0BlackBerry9100closeclosecloseclose0 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15601 Detail
UserAgentStringCom

UC Browser closeBlackBerryOS 8.1.0closecloseclosecloseclose0.069 Detail
WhatIsMyBrowserCom

Blackberry Browser 6.6.0.248 BlackBerry OS BlackBerryBlackBerry 9100closeclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
UC Browser 8.1Gecko BlackBerry OS 6.6RIMBlackBerry Pearl 9100mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
BlackBerry Browser 6.6.0.248closeBlackBerry 6.6.0.248RIMBlackBerry 9100Feature Phoneyescloseclose0.018 Detail
Zsxsoft
1.3
UC Browser 8.1.0.104close BlackBerry9100closeclosecloseclosecloseclose0 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 08:10:46 | by ThaDafinser