User agent detail

SonyEricssonA320/R1FA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.4.3
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonA320 Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.05601 Detail
DonatjUAParser
v0.5.0
SonyEricssonA320 R1FAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonA320mobile-browseryescloseclose0.19202 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonA320smartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonA320closeclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.17502 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson A320closeclosecloseclosecloseclose0.40604 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonA320mobile:featureyescloseclose0.016 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonA320Feature Phoneyescloseclose0.034 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 13:42:04 | by ThaDafinser