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									yes				Detail Testsuite result detail `Array ( [user_agent_string] => NewsGator FetchLinks extension/0.2.0 (http://graemef.com) [family] => Spider [brand] => Spider [model] => Desktop )` close
Providers
BrowscapPhp 6012									yes	NewsGator FetchLinks	RSS	0.01	Detail BrowscapPhp result detail stdClass Object ( [browser_name_regex] => /^newsgator fetchlinks extension\/.$/ [browser_name_pattern] => newsgator fetchlinks extension/ [parent] => NewsGator [comment] => NewsGator [browser] => NewsGator FetchLinks [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	NewsGator											0	Detail DonatjUAParser result detail `Array ( [platform] => [browser] => NewsGator [version] => )` close
NeutrinoApiCom	No result found
PiwikDeviceDetector 3.5.2	No result found
SinergiBrowserDetector 6.0.0	No result found
UAParser v3.4.5									yes	NewsGator FetchLinks extension		0.008	Detail UAParser result detail `UAParser\Result\Client Object ( [ua] => UAParser\Result\UserAgent Object ( [major] => 0 [minor] => 2 [patch] => 0 [family] => NewsGator FetchLinks extension ) [os] => UAParser\Result\OperatingSystem Object ( [major] => [minor] => [patch] => [patchMinor] => [family] => Other ) [device] => UAParser\Result\Device Object ( [brand] => Spider [model] => Desktop [family] => Spider ) [originalUserAgent] => NewsGator FetchLinks extension/0.2.0 (http://graemef.com) )` close
UserAgentStringCom									yes	NewsGator	Crawler	0.12366	Detail UserAgentStringCom result detail `stdClass Object ( [agent_type] => Crawler [agent_name] => NewsGator [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	Links											0.4438	Detail WhatIsMyBrowserCom result detail stdClass Object ( [operating_system_name] => [simple_sub_description_string] => [simple_browser_string] => Links [browser_version] => [extra_info] => Array ( ) [operating_platform] => [extra_info_table] => Array ( ) [layout_engine_name] => [detected_addons] => Array ( ) [operating_system_flavour_code] => [hardware_architecture] => [operating_system_flavour] => [operating_system_frameworks] => Array ( ) [browser_name_code] => links [operating_system_version] => [simple_operating_platform_string] => [is_abusive] => [layout_engine_version] => [browser_capabilities] => Array ( ) [operating_platform_vendor_name] => [operating_system] => [operating_system_version_full] => [operating_platform_code] => [browser_name] => Links [operating_system_name_code] => [user_agent] => NewsGator FetchLinks extension/0.2.0 (http://graemef.com) [browser_version_full] => [browser] => Links ) close
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 13:35:23 | by ThaDafinser