User agent detail

BlackBerry9800/6.4.0.210 Profile/MIDP-2.0 Configuration/CLDC-1.1/UCWEB8.1.0.104/161/800
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 6.4BlackBerry Torch 9800mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
BlackBerry RIM OS RIMBlackberryMobile Phoneyes0.027 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
BlackBerry closeRIM OS closecloseMobile Phoneyesclose0.049 Detail
DonatjUAParser
v0.5.1
BlackBerry9800 6.4.0.210closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
UCBrowser closeBlackBerryOS 6.4.0.210closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

BlackBerry Browser closeRIM OS RIMBlackBerry 9800mobile-browseryescloseclose0.20201 Detail
PiwikDeviceDetector
3.6.1
UC Browser 8.1 BlackBerry OS 6.4RIMBlackBerry 9800smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
BlackBerry 6.4.0.210closeBlackBerry closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
UC Browser 8.1.0closeBlackBerry OS 6.4.0BlackBerry9800closeclosecloseclose0.002 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15401 Detail
UserAgentStringCom

UC Browser closeBlackBerryOS 8.1.0closecloseclosecloseclose0.076 Detail
WhatIsMyBrowserCom

Blackberry Browser 6.4.0.210 BlackBerry OS BlackBerryBlackBerry 9800closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
UC Browser 8.1Gecko BlackBerry OS 6.4RIMBlackBerry Torch 9800mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
BlackBerry Browser 6.4.0.210closeBlackBerry 6.4.0.210RIMBlackBerry 9800Feature Phoneyesyescloseclose0.025 Detail
Zsxsoft
1.3
UC Browser 8.1.0.104close BlackBerry9800closeclosecloseclosecloseclose0 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 08:05:28 | by ThaDafinser