User agent detail

SonyricssonK850i/R1EA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyricssonK850i Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.032 Detail
DonatjUAParser
v0.5.0
SonyricssonK850i R1EAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM AccessNetFront Ver. 3.4mobile-browseryescloseclose0.25903 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront SonyricssonK850ismartphoneyes0.014 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyricssonK850icloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.10101 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.41804 Detail
WhichBrowser
2.0.10
NetFront 3.4 mobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close AccessNetFront Ver. 3.4Feature Phoneyescloseclose0.022 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 13:27:26 | by ThaDafinser