User agent detail

SonyEricssonC123/R1CA 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
SonyEricssonC123 Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.031 Detail
DonatjUAParser
v0.5.0
SonyEricssonC123 R1CAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonC123mobile-browseryescloseclose0.19402 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonC123smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonC123closeclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.06201 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson C123closeclosecloseclosecloseclose0.48005 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonC123mobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonC123Feature Phoneyescloseclose0.024 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 13:40:36 | by ThaDafinser