User agent detail

Mozilla/5.0 (X11; U; Linux i686; xx; rv:1.8.1.21) Gecko/20090303 SeaMonkey/1.1.15 (Ubuntu-1.1.15+nobinonly-0ubuntu2)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/desktop/browser-seamonkey.yaml
SeaMonkey 1.1.15Ubuntu Gecko 1.8.1desktop Detail
Providers
BrowscapPhp
6012
SeaMonkey 1.1Gecko Linux Linux DesktopDesktop0.029 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
SeaMonkey 1.1.15closeLinux desktop-browsercloseclose0.20308 Detail
PiwikDeviceDetector
3.5.2
SeaMonkey 1.1Gecko Ubuntu 1.1desktop0.005 Detail
SinergiBrowserDetector
6.0.0
SeaMonkey 1.1.15closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
SeaMonkey 1.1.15closeUbuntu closeclosecloseclose0.003 Detail
UserAgentStringCom
SeaMonkey 1.1.15closeLinux closecloseclosecloseclose0.06603 Detail
WhatIsMyBrowserCom
Seamonkey 1.1.15Gecko 20090303Linux closeclosecloseclosecloseclose0.47219 Detail
WhichBrowser
2.0.10
SeaMonkey 1.1.15Gecko 1.8.1Ubuntu desktopcloseclose0.007 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
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 2016-02-13 13:35:29 | by ThaDafinser