User agent detail

Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; CrawlDaddy v0.3.0 abot v1.1.1.0 http://code.google.com/p/abot)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_ua.yaml
CrawlDaddy 0.3.0 Detail
Providers
BrowscapPhp
6012
yesFake IEBot/Crawler0.13001 Detail
DonatjUAParser
v0.5.0
MSIE 9.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
IE 9.0closeWindows 6.1desktop-browsercloseclose0.18702 Detail
PiwikDeviceDetector
3.5.2
yes0.002 Detail
SinergiBrowserDetector
6.0.0
Internet Explorer 9.0closeWindows 7closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
close closeclosecloseyesCrawlDaddyclose0.003 Detail
UserAgentStringCom
Internet Explorer 9.0closeWindows 7 closecloseclosecloseclose0.25303 Detail
WhatIsMyBrowserCom
Internet Explorer 9.0Trident Windows Windows NT 6.1closeclosecloseclosecloseclose0.40604 Detail
WhichBrowser
2.0.10
closeyesclose0.01 Detail
Woothee
v1.2.0
Internet Explorer 9.0closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.6.4
close Desktopcloseclose0.014 Detail

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 13:42:34 | by ThaDafinser