User agent detail

Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2159.4 Safari/537.36 OPR/26.0.1646.0 (Edition developer)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/browser-opera.yaml
Opera 26.0Blink OS X Yosemite 10.10desktopclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 26.0Blink MacOSX 10.10AppleMacintoshDesktop0.017 Detail
BrowscapLite
6014
Chrome closeMacOSX closecloseDesktopcloseclosecloseclose0.011 Detail
BrowscapPhp
6014
Opera 26.0closeMacOSX closecloseDesktopclose0.016 Detail
DonatjUAParser
v0.5.1
Opera Next 26.0.1646.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 26.0.1646.0closeOS X 10_10_1closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Opera 26.0.1646.0closeOS X 10.10.1desktop-browsercloseclose0.23201 Detail
PiwikDeviceDetector
3.6.1
Opera 26.0Blink Mac 10.10desktop0.004 Detail
SinergiBrowserDetector
6.0.1
Opera 26.0.1646.0closeOS X 10.10.1closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Opera 26.0.1646closeMac OS X 10.10.1closeclosecloseclose0.001 Detail
UserAgentApiCom

Opera 26.0.1646.0WebKit 537.36closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

Chrome 39.0.2159.4closeOS X 10.10.1closecloseclosecloseclose0.12301 Detail
WhatIsMyBrowserCom

Opera 26.0.1646.0WebKit 537.36Mac OS X 10.10.1closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
Opera Developer 26.0Blink OS X Yosemite 10.10desktopcloseclose0.001 Detail
Woothee
v1.2.0
Opera 26.0.1646.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 26.0.1646.0closeMac OS X 10.10.1Desktopcloseclose0.03 Detail
Zsxsoft
1.3
Opera Developer 26.0.1646.0closeMac OS X 10.10.1 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 08:03:21 | by ThaDafinser