User agent detail

AppEngine-Google
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Woothee
v1.3.0
vendor/woothee/woothee-testset/testsets/crawler_google.yaml
close closecloseclosecloseyesGoogle AppEngineclose0 Detail
Providers
BrowscapFull
6014
yesGoogle App EngineBot/Crawler0.011 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyesGoogle App Engineclose0.016 Detail
DonatjUAParser
v0.5.1
AppEngine-Google closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close closeyesGoogle App Engineclose0.23101 Detail
PiwikDeviceDetector
3.6.1
No result found
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close closeclosecloseyesAppEngine-Googleclose0.003 Detail
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyesAppEngine-GoogleCloud Platform0.086 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
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 07:59:15 | by ThaDafinser