User agent detail

Mozilla/5.0 (compatible; 008/0.83; http://www.80legs.com/webcrawler.html;) Gecko/2008032620
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-317.php
yes80LegsBot/Crawler0 Detail
Providers
BrowscapFull
6014
yes80LegsBot/Crawler0.009 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyes80Legsclose0.012 Detail
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
Mozilla close closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

close closeyes80legs/0.83 bclose0.22901 Detail
PiwikDeviceDetector
3.6.1
yes0.002 Detail
SinergiBrowserDetector
6.0.1
close closeclosecloseyescloseclose0 Detail
UAParser
v3.4.5
close closeclosecloseyes008close0.003 Detail
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyes008Crawler0.08101 Detail
WhatIsMyBrowserCom

80legs Web Crawler Gecko 2008032620 closeclosecloseclosecloseclose0.25301 Detail
WhichBrowser
v2.0.18
closeyes80legsclose0 Detail
Woothee
v1.2.0
closecloseclosecloseclosecloseyesclose0.001 Detail
Wurfl
1.7.1.0
close yescloseclose0.015 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 07:55:52 | by ThaDafinser