User agent detail

Mozilla/5.0 (Standard; Scheme:lsa CanonIJCL/1.1; like Gecko;) Mobile NetFront/4.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/printer/canon.yaml
NetFront 4.1 IJ Printerprinterclosecloseclose0 Detail
Providers
BrowscapFull
6014
NetFront 4.1NetFront Mobile Deviceyes0.0312 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
NetFront 4.1close closecloseMobile Deviceyesclose0.0312 Detail
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
Mozilla close closeclosecloseyescloseclose0.0156 Detail
NeutrinoApiCom

NetFront 4.1close mobile-browseryescloseclose0.2048 Detail
PiwikDeviceDetector
3.6.1
NetFront 4.1NetFront 0 Detail
SinergiBrowserDetector
6.0.1
Mozilla 5.0close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
NetFront 4.1close closeclosecloseclose0 Detail
UserAgentApiCom

Mozilla 5.0 closeclosecloseMobileclosecloseclose0.1404 Detail
UserAgentStringCom

Mozilla close closecloseclosecloseclose0.0624 Detail
WhatIsMyBrowserCom

NetFront closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
NetFront 4.1 CanonIJ Printerprintercloseclose0 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
NetFront 4.1close Feature Phoneyescloseclose0.0156 Detail
Zsxsoft
1.3
NetFront 4.1close 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 07:50:17 | by ThaDafinser