User agent detail

Mozilla/4.08 NetFront/3.2 (Standard; NF32SW/2.0) [en]
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/browser-netfront.yaml
NetFront 3.2 mobile:featureclosecloseclose0 Detail
Providers
BrowscapFull
6014
NetFront 3.2NetFront Mobile Deviceyes0.017 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
NetFront 3.2close closecloseMobile Deviceyesclose0.034 Detail
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
Mozilla close closeclosecloseyescloseclose0.003 Detail
NeutrinoApiCom

NetFront 3.2close AccessNetFront Ver. 3.2mobile-browseryescloseclose0.21301 Detail
PiwikDeviceDetector
3.6.1
NetFront 3.2NetFront 0.005 Detail
SinergiBrowserDetector
6.0.1
Mozilla 4.08close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
NetFront 3.2close closeclosecloseclose0.003 Detail
UserAgentApiCom

No result found
UserAgentStringCom

NetFront 3.2close closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

NetFront closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
NetFront 3.2 mobile:featureyescloseclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
NetFront 3.2close AccessNetFront Ver. 3.2Feature Phoneyescloseclose0.019 Detail
Zsxsoft
1.3
NetFront 3.2close 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 07:59:42 | by ThaDafinser