User agent detail

HappyFunBot/1.1 ( http://www.happyfunsearch.com/bot.html)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-900.php
Default Browser 0.0unknown unknownunknown unknownunknownunknownunknown0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
HappyFunBot 1.1closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close closeyesclose0.20501 Detail
PiwikDeviceDetector
3.6.1
yes0.004 Detail
SinergiBrowserDetector
6.0.1
close closeclosecloseyescloseclose0 Detail
UAParser
v3.4.5
close closeclosecloseyesHappyFunBotclose0.001 Detail
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyesHappyFunBotCrawler0.07201 Detail
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
closeyesclose0.002 Detail
Woothee
v1.2.0
closecloseclosecloseclosecloseyesclose0 Detail
Wurfl
1.7.1.0
close yescloseclose0.019 Detail
Zsxsoft
1.3
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 2016-05-10 07:57:17 | by ThaDafinser