User agent detail

W3C_Validator/1.3 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 Markup Validation ServiceValidator0 Detail
Providers
BrowscapFull
6014
yesW3C_ValidatorBot/Crawler0.005 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesW3C_Validatorclose0.031 Detail
DonatjUAParser
v0.5.1
W3C closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close closeyesW3C Markup Validatorclose0.20701 Detail
PiwikDeviceDetector
3.6.1
yesW3C Markup Validation ServiceValidator0.004 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
No result found
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyesW3C_ValidatorValidator0.07 Detail
WhatIsMyBrowserCom

W3C Validator 1.3 closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
closeyesW3C Markup Validatorclose0.005 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
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 08:11:12 | by ThaDafinser