User agent detail

Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2101.0 Safari/537.36 OPR/25.0.1592.0 (Edition Developer)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/browser-opera.yaml
Opera 25.0Blink OS X Yosemite 10.10desktopclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 25.0Blink MacOSX 10.10AppleMacintoshDesktop0.049 Detail
BrowscapLite
6014
Chrome closeMacOSX closecloseDesktopcloseclosecloseclose0.016 Detail
BrowscapPhp
6014
Opera 25.0closeMacOSX closecloseDesktopclose0.022 Detail
DonatjUAParser
v0.5.1
Opera Next 25.0.1592.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 25.0.1592.0closeOS X 10_10_0closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Opera 25.0.1592.0closeOS X 10.10.0desktop-browsercloseclose0.21201 Detail
PiwikDeviceDetector
3.6.1
Opera 25.0Blink Mac 10.10desktop0.003 Detail
SinergiBrowserDetector
6.0.1
Opera 25.0.1592.0closeOS X 10.10.0closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Opera 25.0.1592closeMac OS X 10.10.0closeclosecloseclose0.001 Detail
UserAgentApiCom

Opera 25.0.1592.0WebKit 537.36closeclosecloseDesktopclosecloseclose0.15001 Detail
UserAgentStringCom

Chrome 38.0.2101.0closeOS X 10.10.0closecloseclosecloseclose0.076 Detail
WhatIsMyBrowserCom

Opera 25.0.1592.0WebKit 537.36Mac OS X 10.10.0closeclosecloseclosecloseclose0.24501 Detail
WhichBrowser
v2.0.18
Opera Developer 25.0Blink OS X Yosemite 10.10desktopcloseclose0.001 Detail
Woothee
v1.2.0
Opera 25.0.1592.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 25.0.1592.0closeMac OS X 10.10.0Desktopcloseclose0.017 Detail
Zsxsoft
1.3
Opera Developer 25.0.1592.0closeMac OS X 10.10.0 closeclosecloseclosecloseclose0.002 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 08:00:50 | by ThaDafinser