User agent detail

NCSA_Mosaic/2.7b5 (X11;Linux 2.6.7 i686) libwww/2.12 modified
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/desktop.yml
NCSA Mosaic 2.7GNU/Linux desktop Detail
Providers
BrowscapPhp
6012
yeslibwwwBot/Crawler0.026 Detail
DonatjUAParser
v0.5.0
NCSA closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NCSA Mosaic 2.7b5closeLinux desktop-browsercloseclose0.208 Detail
PiwikDeviceDetector
3.5.2
NCSA Mosaic 2.7 GNU/Linux desktop0.021 Detail
SinergiBrowserDetector
6.0.0
closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
NCSA Mosaic 2.7closeLinux 2.6.7closeclosecloseclose0.006 Detail
UserAgentStringCom
NCSA_Mosaic 2.7b5closeLinux closecloseclosecloseclose0.051 Detail
WhatIsMyBrowserCom
Mosaic 2.7b5 Linux closeclosecloseclosecloseclose0.446 Detail
WhichBrowser
2.0.10
NCSA Mosaic 2.7 Linux desktopcloseclose0.017 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 13:29:24 | by ThaDafinser