User agent detail

NEC MosaicView/1.0 libwww/2.15_Spyglass
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/browser-mosaic.yaml
Spyglass Mosaic 1.0 closecloseclose0 Detail
Providers
BrowscapFull
6014
yeslibwwwBot/Crawler0.007 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
close closecloseyeslibwwwclose0.01 Detail
DonatjUAParser
v0.5.1
NEC closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

No result found
PiwikDeviceDetector
3.6.1
NECMosaicViewsmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
No result found
UserAgentApiCom

No result found
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Mosaic closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
Spyglass Mosaic 1.0 closeclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
Mosaic Viewclose 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 08:02:35 | by ThaDafinser