User agent detail

AppEngine-Google; (+http://code.google.com/appengine; appid: xbmacx)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/bots/generic.yaml
closecloseyesGoogle App Engineclose0 Detail
Providers
BrowscapFull
6014
yesGoogle App EngineBot/Crawler0.005 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesGoogle App Engineclose0.012 Detail
DonatjUAParser
v0.5.1
AppEngine-Google closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close closeyesGoogle App Engineclose0.24501 Detail
PiwikDeviceDetector
3.6.1
No result found
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close closeclosecloseyesAppEngine-Googleclose0.006 Detail
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyesAppEngine-GoogleCloud Platform0.08 Detail
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
closeyesGoogle App Engineclose0.002 Detail
Woothee
v1.2.0
closecloseclosecloseclosecloseyesGoogle AppEngineclose0 Detail
Wurfl
1.7.1.0
close yescloseclose0.016 Detail
Zsxsoft
1.3
closeMacintosh closeclosecloseclosecloseclose0 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 07:55:44 | by ThaDafinser