User agent detail

Links (1.00pre3; SunOS 5.9 i86pc; 80x24)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-900.php
Links 1.0unknown unknownSunOS unknownunknowngeneral DesktopDesktop0 Detail
Zsxsoft
1.3
vendor/zsxsoft/php-useragent/tests/UserAgentList.php
Links 1.00pre3closeSolaris closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Links 1.0 SunOS Desktop0.014 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Links 1.0closeSunOS closecloseDesktopclose0.017 Detail
DonatjUAParser
v0.5.1
Links closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

Links 1.00pre3closeSolaris desktop-browsercloseclose0.25902 Detail
PiwikDeviceDetector
3.6.1
Links 1.00Text-based Solaris 5.9desktop0.003 Detail
SinergiBrowserDetector
6.0.1
closeSunOS closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Links 1.0closeSolaris closeclosecloseclose0.004 Detail
UserAgentApiCom

Links 1.00 closeclosecloseDesktopclosecloseclose0.15001 Detail
UserAgentStringCom

Links 1.00pre3closeSunOS 5.9closecloseclosecloseclose0.09901 Detail
WhatIsMyBrowserCom

Links 1.00pre3 SunOS closeclosecloseclosecloseclose0.24001 Detail
WhichBrowser
v2.0.18
Links 1.00 Solaris 9desktopcloseclose0.002 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
Links 1.00pre3closeSolaris 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 07:53:10 | by ThaDafinser