User agent detail

SonyEricssonW900c/R5BA 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
SonyEricssonW900c Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.04501 Detail
DonatjUAParser
v0.5.0
SonyEricssonW900c R5BAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW900imobile-browseryescloseclose0.18702 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonW900cfeature phoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW900ccloseclosecloseclose0.008 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.048 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W900ccloseclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW900cmobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW900iFeature Phoneyescloseclose0.027 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 13:33:52 | by ThaDafinser