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_device.yaml				Sony	C1505								Detail Testsuite result detail `Array ( [user_agent_string] => (Sony/C1505/C1505)API 16. Language Deutsch [family] => Sony C1505 [brand] => Sony [model] => C1505 )` close
Providers
BrowscapPhp 6012	No result found
DonatjUAParser v0.5.0	No result found
NeutrinoApiCom	No result found
PiwikDeviceDetector 3.5.2				Sony	Xperia E	smartphone	yes					0.012	Detail PiwikDeviceDetector result detail Array ( [client] => [operatingSystem] => Array ( ) [device] => Array ( [brand] => SO [brandName] => Sony [model] => Xperia E [device] => 1 [deviceName] => smartphone ) [bot] => [extra] => Array ( [isBot] => [isBrowser] => [isFeedReader] => [isMobileApp] => [isPIM] => [isLibrary] => [isMediaPlayer] => [isCamera] => [isCarBrowser] => [isConsole] => [isFeaturePhone] => [isPhablet] => [isPortableMediaPlayer] => [isSmartDisplay] => [isSmartphone] => 1 [isTablet] => [isTV] => [isDesktop] => [isMobile] => 1 [isTouchEnabled] => ) ) close
SinergiBrowserDetector 6.0.0	No result found
UAParser v3.4.5				Sony	C1505							0.019	Detail UAParser result detail `UAParser\Result\Client Object ( [ua] => UAParser\Result\UserAgent Object ( [major] => [minor] => [patch] => [family] => Other ) [os] => UAParser\Result\OperatingSystem Object ( [major] => [minor] => [patch] => [patchMinor] => [family] => Other ) [device] => UAParser\Result\Device Object ( [brand] => Sony [model] => C1505 [family] => Sony C1505 ) [originalUserAgent] => (Sony/C1505/C1505)API 16. Language Deutsch )` close
UserAgentStringCom	No result found
WhatIsMyBrowserCom	No result found
WhichBrowser 2.0.10	No result found
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 13:43:24 | by ThaDafinser