User agent detail

Mozilla/4.0 (PDA; SL-C760/1.0,Embedix/Qtopia/1.3.0) NetFront/3.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/pda/zaurus.yaml
NetFront 3.0Qtopia 1.3.0 SharpZaurus SL-C760pda Detail
Providers
BrowscapPhp
6012
NetFront 3.0NetFront Mobile Deviceyes0.016 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.0close AccessNetFront Ver. 3.0mobile-browseryescloseclose0.17902 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.0NetFront 0.007 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.0close closeclosecloseclose0.005 Detail
UserAgentStringCom
NetFront 3.0close closecloseclosecloseclose0.045 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.60406 Detail
WhichBrowser
2.0.10
NetFront 3.0 Qtopia 1.3.0SharpZaurus SL-C760pdacloseclose0.003 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.0close AccessNetFront Ver. 3.0Feature Phoneyescloseclose0.011 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 13:37:51 | by ThaDafinser