User agent detail

Midori/0.4 (CentOS 6.5)

Detected by 4 of 8 providers
As bot detected by 0 of 7

	General			Device					Bot
Provider	Browser	Engine	OS	Brand	Model	Type	Is mobile	Is touch	Is bot	Name	Type	Actions
BrowscapPhp 6011	No result found
DonatjUAParser v0.5.0	Midori 0.4											Detail DonatjUAParser result detail `Array ( [platform] => [browser] => Midori [version] => 0.4 )` close
PiwikDeviceDetector 3.5.1	Midori 0.4	WebKit	CentOS 6.5			desktop						Detail PiwikDeviceDetector result detail Array ( [client] => Array ( [type] => browser [name] => Midori [short_name] => MI [version] => 0.4 [engine] => WebKit ) [operatingSystem] => Array ( [name] => CentOS [short_name] => CES [version] => 6.5 [platform] => ) [device] => Array ( [brand] => [brandName] => [model] => [device] => 0 [deviceName] => desktop ) [bot] => [extra] => Array ( [isBot] => [isBrowser] => 1 [isFeedReader] => [isMobileApp] => [isPIM] => [isLibrary] => [isMediaPlayer] => [isCamera] => [isCarBrowser] => [isConsole] => [isFeaturePhone] => [isPhablet] => [isPortableMediaPlayer] => [isSmartDisplay] => [isSmartphone] => [isTablet] => [isTV] => [isDesktop] => 1 [isMobile] => [isTouchEnabled] => ) ) close
SinergiBrowserDetector 6.0.0	No result found
UAParser v3.4.5	Midori 0.4		CentOS									Detail UAParser result detail `UAParser\Result\Client Object ( [ua] => UAParser\Result\UserAgent Object ( [major] => 0 [minor] => 4 [patch] => [family] => Midori ) [os] => UAParser\Result\OperatingSystem Object ( [major] => [minor] => [patch] => [patchMinor] => [family] => CentOS ) [device] => UAParser\Result\Device Object ( [brand] => [model] => [family] => Other ) [originalUserAgent] => Midori/0.4 (CentOS 6.5) )` close
WhichBrowser 2.0.9	Midori 0.4					desktop						Detail WhichBrowser result detail `Array ( [browser] => Array ( [name] => Midori [version] => 0.4 [type] => browser ) [device] => Array ( [type] => desktop ) )` 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 2016-01-26 16:39:09 | by ThaDafinser