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)
woothee/woothee-testset /testsets/misc.yaml	HTTP Library php	UNKNOWN				misc							Detail Testsuite result detail `Array ( [target] => CakePHP [name] => HTTP Library [version] => php [os] => UNKNOWN [category] => misc )` close
Providers
BrowscapPhp 6012	No result found
DonatjUAParser v0.5.0	CakePHP											0	Detail DonatjUAParser result detail `Array ( [platform] => [browser] => CakePHP [version] => )` close
NeutrinoApiCom									yes	PHP		0.186	Detail NeutrinoApiCom result detail `stdClass Object ( [mobile_screen_height] => 0 [is_mobile] => [type] => robot [mobile_brand] => [mobile_model] => [version] => [is_android] => [browser_name] => PHP [operating_system_family] => unknown [operating_system_version] => [is_ios] => [producer] => [operating_system] => unknown [mobile_screen_width] => 0 [mobile_browser] => )` close
PiwikDeviceDetector 3.5.2	No result found
SinergiBrowserDetector 6.0.0	No result found
UAParser v3.4.5	No result found
UserAgentStringCom	PHP											0.078	Detail UserAgentStringCom result detail `stdClass Object ( [agent_type] => Librarie [agent_name] => PHP [agent_version] => -- [os_type] => unknown [os_name] => unknown [os_versionName] => [os_versionNumber] => [os_producer] => [os_producerURL] => [linux_distibution] => Null [agent_language] => [agent_languageTag] => )` close
WhatIsMyBrowserCom	No result found
WhichBrowser 2.0.10									yes	PHP		0.007	Detail WhichBrowser result detail `Array ( [browser] => Array ( [name] => PHP ) [device] => Array ( [type] => bot ) )` close
Woothee v1.2.0	HTTP Library php					misc						0	Detail Woothee result detail `Array ( [name] => HTTP Library [category] => misc [version] => php [os] => 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 13:33:23 | by ThaDafinser