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)
whichbrowser/parser /tests/data/desktop/browser-text.yaml	w3m 1.4.77												Detail Testsuite result detail `Array ( [headers] => User-Agent: Emacs-w3m/1.4.77 w3m/0.5 [result] => Array ( [browser] => Array ( [name] => w3m [version] => 1.4.77 [type] => browser:text ) ) )` close
Providers
BrowscapPhp 6012	Emacs/W3					Desktop						0.008	Detail BrowscapPhp result detail stdClass Object ( [browser_name_regex] => /^emacs\-w3m\/.$/ [browser_name_pattern] => emacs-w3m/ [parent] => Emacs/W3 [comment] => Emacs/W3 [browser] => Emacs/W3 [browser_type] => Application [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] => 1 [iframes] => 1 [tables] => 1 [cookies] => 1 [backgroundsounds] => [javascript] => [vbscript] => [javaapplets] => [activexcontrols] => [ismobiledevice] => [istablet] => [issyndicationreader] => [crawler] => [cssversion] => 0 [aolversion] => 0 [device_name] => general Desktop [device_maker] => Various [device_type] => Desktop [device_pointing_method] => mouse [device_code_name] => general Desktop [device_brand_name] => unknown [renderingengine_name] => unknown [renderingengine_version] => unknown [renderingengine_description] => unknown [renderingengine_maker] => unknown ) close
DonatjUAParser v0.5.0	Emacs-w3m 1.4.77											0	Detail DonatjUAParser result detail `Array ( [platform] => [browser] => Emacs-w3m [version] => 1.4.77 )` close
NeutrinoApiCom	w3m 1.4.77					desktop-browser						0.18702	Detail NeutrinoApiCom result detail `stdClass Object ( [mobile_screen_height] => 0 [is_mobile] => [type] => desktop-browser [mobile_brand] => [mobile_model] => [version] => 1.4.77 [is_android] => [browser_name] => w3m [operating_system_family] => unknown [operating_system_version] => [is_ios] => [producer] => Sakamoto Hironori [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	w3m 0.5											0.06501	Detail UserAgentStringCom result detail `stdClass Object ( [agent_type] => Browser [agent_name] => w3m [agent_version] => 0.5 [os_type] => unknown [os_name] => unknown [os_versionName] => [os_versionNumber] => [os_producer] => [os_producerURL] => [linux_distibution] => Null [agent_language] => [agent_languageTag] => )` close
WhatIsMyBrowserCom	w3m 1.4.77											0.41504	Detail WhatIsMyBrowserCom result detail stdClass Object ( [operating_system_name] => [simple_sub_description_string] => [simple_browser_string] => w3m 1.4 [browser_version] => 1.4 [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] => w3m [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] => w3m [operating_system_name_code] => [user_agent] => Emacs-w3m/1.4.77 w3m/0.5 [browser_version_full] => 1.4.77 [browser] => w3m 1.4 ) close
WhichBrowser 2.0.10	w3m 1.4.77											0.017	Detail WhichBrowser result detail `Array ( [browser] => Array ( [name] => w3m [version] => 1.4.77 [type] => browser:text ) )` 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 13:32:13 | by ThaDafinser