User agent detail

SonyEricssonW902/R3CA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.3.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonW902 Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.05 Detail
DonatjUAParser
v0.5.0
SonyEricssonW902 R3CAcloseclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonW902mobile-browseryescloseclose0.201 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonW902smartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonW902closeclosecloseclose0.008 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.056 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W902closeclosecloseclosecloseclose0.417 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonW902mobile:featureyescloseclose0.015 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonW902Feature Phoneyescloseclose0.08101 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 13:34:56 | by ThaDafinser