User agent detail

Opera/9.26 (Macintosh; Intel Mac OS X; U; xx)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/browser-opera.yaml
Opera 9.26 OS X desktopclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 9.26Presto 2.0MacOSX 10AppleMacintoshDesktop0.017 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Opera 9.26closeMacOSX closecloseDesktopclose0.015 Detail
DonatjUAParser
v0.5.1
Opera 9.26closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Opera closeOS X closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Opera 9.26closeOS X desktop-browsercloseclose0.24101 Detail
PiwikDeviceDetector
3.6.1
Opera 9.26Presto Mac desktop0.008 Detail
SinergiBrowserDetector
6.0.1
Opera 9.26closeOS X closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Opera 9.26closeMac OS X closeclosecloseclose0.006 Detail
UserAgentApiCom

Opera 9.26 closeclosecloseDesktopclosecloseclose0.16801 Detail
UserAgentStringCom

Opera 9.26closeOS X closecloseclosecloseclose0.069 Detail
WhatIsMyBrowserCom

Opera 9.26 Mac OS X closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Opera 9.26 OS X desktopcloseclose0.005 Detail
Woothee
v1.2.0
Opera 9.26closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 9.26closeIntel Mac OS X Desktopcloseclose0.016 Detail
Zsxsoft
1.3
Opera 9.26closeMac OS X 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 07:55:57 | by ThaDafinser