User agent detail

Mozilla/4.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/4.0; FDM; MSIECrawler; Media Center PC 5.0)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_ua.yaml
MSIECrawler 9.0 Detail
Providers
BrowscapPhp
6012
yesFake IEBot/Crawler0.13601 Detail
DonatjUAParser
v0.5.0
MSIE 9.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
IE 9.0closeWindows 6.1desktop-browsercloseclose0.19102 Detail
PiwikDeviceDetector
3.5.2
yes0.004 Detail
SinergiBrowserDetector
6.0.0
Internet Explorer 9.0closeWindows 7closecloseclosecloseclose0 Detail
UAParser
v3.4.5
close closeclosecloseyesMSIECrawlerclose0.007 Detail
UserAgentStringCom
Internet Explorer 9.0closeWindows 7 closecloseclosecloseclose0.06301 Detail
WhatIsMyBrowserCom
Internet Explorer 8.0Trident 4.0Windows Windows NT 6.1closeclosecloseclosecloseclose0.49805 Detail
WhichBrowser
2.0.10
closeyesclose0.01 Detail
Woothee
v1.2.0
Internet Explorer 9.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
close yescloseclose0.017 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 13:42:09 | by ThaDafinser