User agent detail

Opera/9.27
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-751.php
Opera 9.27Presto 2.0unknown unknownunknowngeneral DesktopDesktop0 Detail
Providers
BrowscapFull
6014
Opera 9.27Presto 2.0 Desktop0.009 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Opera 9.27close closecloseDesktopclose0.019 Detail
DonatjUAParser
v0.5.1
Opera 9.27closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera close closecloseclosecloseclose0.004 Detail
NeutrinoApiCom

Opera 9.27close desktop-browsercloseclose0.20001 Detail
PiwikDeviceDetector
3.6.1
Opera 9.27Presto 0.004 Detail
SinergiBrowserDetector
6.0.1
Opera 9.27close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Opera 9.27close closeclosecloseclose0.002 Detail
UserAgentApiCom

No result found
UserAgentStringCom

Opera 9.27close closecloseclosecloseclose0.057 Detail
WhatIsMyBrowserCom

Opera 9.27 closeclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Opera 9.27 desktopcloseclose0.003 Detail
Woothee
v1.2.0
Opera 9.27closecloseclosecloseclosecloseclose0 Detail
Wurfl
1.7.1.0
close Desktopcloseclose0.015 Detail
Zsxsoft
1.3
Opera 9.27close closeclosecloseclosecloseclose0 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 08:03:45 | by ThaDafinser