User agent detail

Jigsaw/2.3.0 W3C_CSS_Validator_JFouffa/2.0 (See <http://validator.w3.org/services>)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/bots.yml
closecloseyesW3C CSS ValidatorValidator0 Detail
Providers
BrowscapFull
6014
yesJigsaw_W3C_CSS_ValidatorBot/Crawler0.009 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesJigsaw_W3C_CSS_Validatorclose0.013 Detail
DonatjUAParser
v0.5.1
Jigsaw 2.3.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close closeyesW3C CSS Validatorclose0.21501 Detail
PiwikDeviceDetector
3.6.1
yesW3C CSS ValidatorValidator0.001 Detail
SinergiBrowserDetector
6.0.1
Google Search Appliance 2.3.0close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
No result found
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyesW3C_CSS_Validator_JFouffaValidator0.071 Detail
WhatIsMyBrowserCom

W3C CSS Validator 2.3.0 closeclosecloseclosecloseclose0.25501 Detail
WhichBrowser
v2.0.18
closeyesW3C CSS Validatorclose0.002 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
Google Search App wclose closeclosecloseclosecloseclose0.001 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 2016-05-10 08:11:16 | by ThaDafinser