User agent detail

	General			Device					Bot
Provider	Browser	Engine	OS	Brand	Model	Type	Is mobile	Is touch	Is bot	Name	Type	Parse time	Actions
Source result (test suite)
ua-parser/uap-core vendor/thadafinser/uap-core/tests/test_ua.yaml	Jomjaibot 1.0												Detail Testsuite result detail `Array ( [user_agent_string] => Jomjaibot/1.0 Crawl (+http://www.jomjaibot.com/) [family] => Jomjaibot [major] => 1 [minor] => 0 [patch] => )` close
Providers
BrowscapPhp 6012	No result found
DonatjUAParser v0.5.0	Jomjaibot 1.0											0	Detail DonatjUAParser result detail `Array ( [platform] => [browser] => Jomjaibot [version] => 1.0 )` close
NeutrinoApiCom									yes			0.189	Detail NeutrinoApiCom result detail `stdClass Object ( [mobile_screen_height] => 0 [is_mobile] => [type] => robot [mobile_brand] => [mobile_model] => [version] => [is_android] => [browser_name] => unknown [operating_system_family] => unknown [operating_system_version] => [is_ios] => [producer] => [operating_system] => unknown [mobile_screen_width] => 0 [mobile_browser] => )` close
PiwikDeviceDetector 3.5.2									yes			0.003	Detail PiwikDeviceDetector result detail Array ( [client] => [operatingSystem] => [device] => Array ( [brand] => [brandName] => [model] => [device] => [deviceName] => ) [bot] => Array ( [name] => Generic Bot ) [extra] => Array ( [isBot] => 1 [isBrowser] => [isFeedReader] => [isMobileApp] => [isPIM] => [isLibrary] => [isMediaPlayer] => [isCamera] => [isCarBrowser] => [isConsole] => [isFeaturePhone] => [isPhablet] => [isPortableMediaPlayer] => [isSmartDisplay] => [isSmartphone] => [isTablet] => [isTV] => [isDesktop] => [isMobile] => [isTouchEnabled] => ) ) close
SinergiBrowserDetector 6.0.0									yes			0	Detail SinergiBrowserDetector result detail Array ( [browser] => Sinergi\BrowserDetector\Browser Object ( [userAgent:Sinergi\BrowserDetector\Browser:private] => Sinergi\BrowserDetector\UserAgent Object ( [userAgentString:Sinergi\BrowserDetector\UserAgent:private] => Jomjaibot/1.0 Crawl (+http://www.jomjaibot.com/) ) [name:Sinergi\BrowserDetector\Browser:private] => unknown [version:Sinergi\BrowserDetector\Browser:private] => unknown [isRobot:Sinergi\BrowserDetector\Browser:private] => 1 [isChromeFrame:Sinergi\BrowserDetector\Browser:private] => ) [operatingSystem] => Sinergi\BrowserDetector\Os Object ( [name:Sinergi\BrowserDetector\Os:private] => unknown [version:Sinergi\BrowserDetector\Os:private] => unknown [isMobile:Sinergi\BrowserDetector\Os:private] => [userAgent:Sinergi\BrowserDetector\Os:private] => Sinergi\BrowserDetector\UserAgent Object ( [userAgentString:Sinergi\BrowserDetector\UserAgent:private] => Jomjaibot/1.0 Crawl (+http://www.jomjaibot.com/) ) ) [device] => Sinergi\BrowserDetector\Device Object ( [name:Sinergi\BrowserDetector\Device:private] => unknown [userAgent:Sinergi\BrowserDetector\Device:private] => Sinergi\BrowserDetector\UserAgent Object ( [userAgentString:Sinergi\BrowserDetector\UserAgent:private] => Jomjaibot/1.0 Crawl (+http://www.jomjaibot.com/) ) ) ) close
UAParser v3.4.5									yes	Jomjaibot		0.004	Detail UAParser result detail `UAParser\Result\Client Object ( [ua] => UAParser\Result\UserAgent Object ( [major] => 1 [minor] => 0 [patch] => [family] => Jomjaibot ) [os] => UAParser\Result\OperatingSystem Object ( [major] => [minor] => [patch] => [patchMinor] => [family] => Other ) [device] => UAParser\Result\Device Object ( [brand] => Spider [model] => Desktop [family] => Spider ) [originalUserAgent] => Jomjaibot/1.0 Crawl (+http://www.jomjaibot.com/) )` close
UserAgentStringCom	No result found
WhatIsMyBrowserCom	No result found
WhichBrowser 2.0.10									yes			0.012	Detail WhichBrowser result detail `Array ( [device] => Array ( [type] => bot ) )` close
Woothee v1.2.0									yes			0.001	Detail Woothee result detail `Array ( [name] => misc crawler [category] => crawler [os] => UNKNOWN [version] => UNKNOWN [vendor] => UNKNOWN [os_version] => UNKNOWN )` close
Wurfl 1.6.4	No result found

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 2016-02-13 13:29:47 | by ThaDafinser