User agent detail

Jigsaw/2.3.0 W3C_CSS_Validator_JFouffa/2.0 (See )
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/Parser/fixtures/bots.yml
Detail
Providers
BrowscapPhp
6012
yesJigsaw_W3C_CSS_ValidatorBot/Crawler0.014 Detail
DonatjUAParser
v0.5.0
Jigsaw 2.3.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
close closeyesW3C CSS Validatorclose0.286 Detail
PiwikDeviceDetector
3.5.2
yesW3C CSS ValidatorValidator0.004 Detail
SinergiBrowserDetector
6.0.0
Google Search Appliance 2.3.0close closecloseclosecloseclose0.002 Detail
UAParser
v3.4.5
close closeclosecloseclose0.009 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesW3C_CSS_Validator_JFouffaValidator0.139 Detail
WhatIsMyBrowserCom
W3C CSS Validator 2.3.0 closeclosecloseclosecloseclose0.58 Detail
WhichBrowser
2.0.10
closeyesW3C CSS Validatorclose0.011 Detail
Woothee
v1.2.0
No result found
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 13:33:26 | by ThaDafinser