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/bots/generic.yaml									yes	Fastladder			Detail Testsuite result detail `Array ( [headers] => User-Agent: Fastladder FeedFetcher/0.01 (http://fastladder.com/; 27 subscribers) [result] => Array ( [browser] => Array ( [name] => Fastladder [version] => 0.01 ) [device] => Array ( [type] => bot ) ) )` close
Providers
BrowscapPhp 6012	No result found
DonatjUAParser v0.5.0	Fastladder											0	Detail DonatjUAParser result detail `Array ( [platform] => [browser] => Fastladder [version] => )` close
NeutrinoApiCom	Fastladder FeedFetcher 0.01					feed-reader						0.19304	Detail NeutrinoApiCom result detail `stdClass Object ( [mobile_screen_height] => 0 [is_mobile] => [type] => feed-reader [mobile_brand] => [mobile_model] => [version] => 0.01 [is_android] => [browser_name] => Fastladder FeedFetcher [operating_system_family] => unknown [operating_system_version] => [is_ios] => [producer] => livedoor Co.,Ltd. [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	No result found
WhatIsMyBrowserCom	No result found
WhichBrowser 2.0.10									yes	Fastladder		0.017	Detail WhichBrowser result detail `Array ( [browser] => Array ( [name] => Fastladder [version] => 0.01 ) [device] => Array ( [type] => bot ) )` close
Woothee v1.2.0									yes	livedoor FeedFetcher		0.001	Detail Woothee result detail `Array ( [name] => livedoor FeedFetcher [category] => crawler [os] => UNKNOWN [version] => 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 13:37:59 | by ThaDafinser