User agent detail

Computer_and_Automation_Research_Institute_Crawler (crawler@info.ilab.sztaki.hu)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
Computer_and_Automation_Research_Institute_Crawler close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
yesBot/Crawler0.066 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesclose0.098 Detail
DonatjUAParser
v0.5.1
Computer closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

No result found
PiwikDeviceDetector
3.6.1
yes0.003 Detail
SinergiBrowserDetector
6.0.1
close closeclosecloseyescloseclose0 Detail
UAParser
v3.4.5
close closeclosecloseyesComputer_and_Automation_Research_Institute_Crawlerclose0.002 Detail
UserAgentApiCom

No result found
UserAgentStringCom

No result found
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
No result found
Woothee
v1.2.0
closecloseclosecloseclosecloseyesclose0.001 Detail
Wurfl
1.7.1.0
close yescloseclose0.019 Detail
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 07:56:31 | by ThaDafinser