User agent detail

Opera/9.80 (X11; Linux x86_64; U; Kubuntu 12.04 LTS; xx) Presto/2.10.229 Version/11.62
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/desktop/os-linux.yaml
Opera 11.62Kubuntu 12.04Presto 2.10.229desktop Detail
Providers
BrowscapPhp
6012
Opera 11.62Presto 2.10Linux Linux DesktopDesktop0.015 Detail
DonatjUAParser
v0.5.0
Opera 11.62closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Opera 11.62closeLinux desktop-browsercloseclose0.19602 Detail
PiwikDeviceDetector
3.5.2
Opera 11.62Presto Kubuntu 12.04desktop0.008 Detail
SinergiBrowserDetector
6.0.0
Opera 11.62closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Opera 11.62closeKubuntu closeclosecloseclose0.007 Detail
UserAgentStringCom
Opera 11.62closeLinux closecloseclosecloseclose0.045 Detail
WhatIsMyBrowserCom
Opera 11.62Presto 2.10.229Linux 12.04closeclosecloseclosecloseclose0.40304 Detail
WhichBrowser
2.0.10
Opera 11.62Presto 2.10.229Kubuntu 12.04desktopcloseclose0.009 Detail
Woothee
v1.2.0
Opera 11.62closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
Opera 11.10closeLinux zvav Desktopcloseclose0.008 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 2016-02-13 13:28:29 | by ThaDafinser