User agent detail

Mozilla/4.08 (PDA; NF32PPC3AR/1.01) NetFront/3.2
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/pda/generic.yaml
NetFront 3.2 pda Detail
Providers
BrowscapPhp
6012
NetFront 3.2NetFront Mobile Deviceyes0.024 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.2close AccessNetFront Ver. 3.2mobile-browseryescloseclose0.184 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.2NetFront 0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.08close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.2close closeclosecloseclose0.006 Detail
UserAgentStringCom
NetFront 3.2close closecloseclosecloseclose0.098 Detail
WhatIsMyBrowserCom
NetFront Mac closeclosecloseclosecloseclose0.435 Detail
WhichBrowser
2.0.10
NetFront 3.2 pdacloseclose0.003 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.2close AccessNetFront Ver. 3.2Feature Phoneyescloseclose0.084 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 2016-02-13 13:41:00 | by ThaDafinser