User agent detail

Mozilla/4.08 (PDA; SL-C1000/1.0,Qtopia/1.5.4) NetFront/3.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/pda/zaurus.yaml
NetFront 3.1Qtopia 1.5.4 SharpZaurus SL-C1000pda Detail
Providers
BrowscapPhp
6012
NetFront 3.1NetFront Mobile Deviceyes0.025 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.1close AccessNetFront Ver. 3.1mobile-browseryescloseclose0.222 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.1NetFront 0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.08close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.1close closeclosecloseclose0.012 Detail
UserAgentStringCom
NetFront 3.1close closecloseclosecloseclose0.048 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.41 Detail
WhichBrowser
2.0.10
NetFront 3.1 Qtopia 1.5.4SharpZaurus SL-C1000pdacloseclose0.003 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.1close AccessNetFront Ver. 3.1Feature Phoneyescloseclose0.012 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 13:43:19 | by ThaDafinser