User agent detail

NCSA Mosaic/3.0.0 (Windows x86)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/desktop/browser-mosaic.yaml
NCSA Mosaic 3.0.0Windows desktop Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
NCSA closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NCSA Mosaic 3.0.0closeWindows desktop-browsercloseclose0.18302 Detail
PiwikDeviceDetector
3.5.2
Windows desktop0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
closeWindows closeclosecloseclose0.003 Detail
UserAgentStringCom
NCSA_Mosaic 3.0.0close closecloseclosecloseclose0.04501 Detail
WhatIsMyBrowserCom
Mosaic 3.0.0 Windows closeclosecloseclosecloseclose0.40504 Detail
WhichBrowser
2.0.10
NCSA Mosaic 3.0.0 Windows desktopcloseclose0.008 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 13:38:22 | by ThaDafinser