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)
piwik/device-detector /Tests/Parser/fixtures/bots.yml													Detail Testsuite result detail `Array ( [user_agent] => Netvibes (http://www.netvibes.com/; 8 subscribers; feedID: 2244192) [bot] => Array ( [name] => Netvibes [url] => http://www.netvibes.com/ [category] => Feed Fetcher [producer] => Array ( [name] => [url] => ) ) )` close
Providers
BrowscapPhp 6012									yes	Netvibes	RSS	0.006	Detail BrowscapPhp result detail stdClass Object ( [browser_name_regex] => /^netvibes \(.\)$/ [browser_name_pattern] => netvibes () [parent] => Feeds Syndicators [comment] => Feeds Syndicators [browser] => Netvibes [browser_type] => Bot/Crawler [browser_bits] => 0 [browser_maker] => unknown [browser_modus] => unknown [version] => 0.0 [majorver] => 0 [minorver] => 0 [platform] => unknown [platform_version] => unknown [platform_description] => unknown [platform_bits] => 0 [platform_maker] => unknown [alpha] => [beta] => [win16] => [win32] => [win64] => [frames] => [iframes] => [tables] => [cookies] => [backgroundsounds] => [javascript] => [vbscript] => [javaapplets] => [activexcontrols] => [ismobiledevice] => [istablet] => [issyndicationreader] => 1 [crawler] => 1 [cssversion] => 0 [aolversion] => 0 [device_name] => unknown [device_maker] => unknown [device_type] => unknown [device_pointing_method] => unknown [device_code_name] => unknown [device_brand_name] => unknown [renderingengine_name] => unknown [renderingengine_version] => unknown [renderingengine_description] => unknown [renderingengine_maker] => unknown ) close
DonatjUAParser v0.5.0	Netvibes											0	Detail DonatjUAParser result detail `Array ( [platform] => [browser] => Netvibes [version] => )` close
NeutrinoApiCom	Netvibes feed reader					feed-reader						0.18902	Detail NeutrinoApiCom result detail `stdClass Object ( [mobile_screen_height] => 0 [is_mobile] => [type] => feed-reader [mobile_brand] => [mobile_model] => [version] => [is_android] => [browser_name] => Netvibes feed reader [operating_system_family] => unknown [operating_system_version] => [is_ios] => [producer] => Netvibes team [operating_system] => unknown [mobile_screen_width] => 0 [mobile_browser] => )` close
PiwikDeviceDetector 3.5.2									yes	Netvibes	Feed Fetcher	0.003	Detail PiwikDeviceDetector result detail Array ( [client] => [operatingSystem] => [device] => Array ( [brand] => [brandName] => [model] => [device] => [deviceName] => ) [bot] => Array ( [name] => Netvibes [url] => http://www.netvibes.com/ [category] => Feed Fetcher [producer] => Array ( [name] => [url] => ) ) [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	No result found
UAParser v3.4.5									yes	Netvibes		0.007	Detail UAParser result detail `UAParser\Result\Client Object ( [ua] => UAParser\Result\UserAgent Object ( [major] => [minor] => [patch] => [family] => Netvibes ) [os] => UAParser\Result\OperatingSystem Object ( [major] => [minor] => [patch] => [patchMinor] => [family] => Other ) [device] => UAParser\Result\Device Object ( [brand] => Spider [model] => Desktop [family] => Spider ) [originalUserAgent] => Netvibes (http://www.netvibes.com/; 8 subscribers; feedID: 2244192) )` close
UserAgentStringCom	No result found
WhatIsMyBrowserCom	No result found
WhichBrowser 2.0.10									yes	Netvibes		0.023	Detail WhichBrowser result detail `Array ( [browser] => Array ( [name] => Netvibes ) [device] => Array ( [type] => bot ) )` close
Woothee v1.2.0	No result found
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 13:40:32 | by ThaDafinser