User agent detail

NCSA Mosaic/2.1 (Windows x86)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/browser-mosaic.yaml
NCSA Mosaic 2.1 Windows desktopclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
NCSA closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeWindows closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

NCSA Mosaic 2.1closeWindows desktop-browsercloseclose0.20701 Detail
PiwikDeviceDetector
3.6.1
Windows desktop0.003 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
closeWindows closeclosecloseclose0.007 Detail
UserAgentApiCom

closeclosecloseDesktopclosecloseclose0.15301 Detail
UserAgentStringCom

NCSA_Mosaic 2.1close closecloseclosecloseclose0.068 Detail
WhatIsMyBrowserCom

Mosaic 2.1 Windows closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
NCSA Mosaic 2.1 Windows desktopcloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
Mosaic 2.1closeWindows 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 08:00:05 | by ThaDafinser