User agent detail

Mozilla/5.0 (PlayBook; U; RIM Tablet OS 1.0.0; en-US) AppleWebKit/534.8+ (KHTML, like Gecko) Version/0.0.1 Safari/534.8+
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close BlackBerryPlaybookclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Blackberry Playbook Tablet WebKit RIM Tablet OS 1.0RIMPlayBookTabletyes0.014 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Blackberry Playbook Tablet closeRIM Tablet OS closecloseTabletyesclose0.016 Detail
DonatjUAParser
v0.5.1
BlackBerry Browser 0.0.1closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 0.0.1closeBlackBerryOS 0.0.1closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

BlackBerry Browser closeRIM OS RIMPlayBookmobile-browseryescloseclose0.22401 Detail
PiwikDeviceDetector
3.6.1
BlackBerry Browser WebKit BlackBerry Tablet OS 1.0RIMBlackBerry Playbooktabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Safari 0.0.1close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
BlackBerry WebKit 1.0.0closeBlackBerry Tablet OS 1.0.0BlackBerryPlaybookcloseclosecloseclose0.004 Detail
UserAgentApiCom

Safari 534.8WebKit 534.8closeclosecloseTabletclosecloseclose0.16801 Detail
UserAgentStringCom

Safari 0.0.1close closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

PlayBook Web Browser WebKit 534.8RIM Tablet OS 1.0.0BlackBerrycloseclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
BlackBerry Browser Webkit 534.8BlackBerry Tablet OS 1.0RIMBlackBerry PlayBooktabletyescloseclose0 Detail
Woothee
v1.2.0
Safari 0.0.1closecloseclosecloseclosecloseclose0 Detail
Wurfl
1.7.1.0
RIM OS Browser 0.0.1closeRIM Tablet OS 1.0.0RIMPlayBookTabletyesyescloseclose0.018 Detail
Zsxsoft
1.3
Safari 0.0.1close closeclosecloseclosecloseclose0.001 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 07:56:46 | by ThaDafinser