User agent detail

SonyEricssonUnix7/R8BF Browser/NetFront/3.3 Profile/MIDP-2.0 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
SonyEricssonUnix7 Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.05 Detail
DonatjUAParser
v0.5.0
SonyEricssonUnix7 R8BFcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM AccessNetFront Ver. 3.3mobile-browseryescloseclose0.19202 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonUnix7smartphoneyes0.015 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonUnix7closeclosecloseclose0.006 Detail
UserAgentStringCom
NetFront 3.3closeUnix closecloseclosecloseclose0.04901 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson Unix7closeclosecloseclosecloseclose0.41904 Detail
WhichBrowser
2.0.10
NetFront 3.3 Unix Sony EricssonUnix7mobile:featureyescloseclose0.022 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close AccessNetFront Ver. 3.3Feature Phoneyescloseclose0.016 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 13:28:38 | by ThaDafinser