User agent detail

Mozilla/4.0 (compatible; Vagabondo/2.2; webcrawler at wise-guys dot nl; http://webagent.wise-guys.nl/)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
Vagabondo 2.2close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
yesVagabondoBot/Crawler0.029 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesVagabondoclose0.026 Detail
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
Mozilla close closecloseclosecloseclose0.003 Detail
NeutrinoApiCom

No result found
PiwikDeviceDetector
3.6.1
yes0.005 Detail
SinergiBrowserDetector
6.0.1
close closeclosecloseyescloseclose0.001 Detail
UAParser
v3.4.5
close closeclosecloseyesVagabondoclose0.011 Detail
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyesVagabondoCrawler0.059 Detail
WhatIsMyBrowserCom

Netscape Navigator 4.0 closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
closeyesVagabondoclose0.004 Detail
Woothee
v1.2.0
closecloseclosecloseclosecloseyesclose0 Detail
Wurfl
1.7.1.0
close yescloseclose0.016 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 08:00:39 | by ThaDafinser