User agent detail

SonyEricssonK800c/R1CB 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
SonyEricssonK800c Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.058 Detail
DonatjUAParser
v0.5.0
SonyEricssonK800c R1CBcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonK800cmobile-browseryescloseclose0.19206 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK800cfeature phoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK800ccloseclosecloseclose0.012 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.05202 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K800ccloseclosecloseclosecloseclose0.44113 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK800cmobile:featureyescloseclose0.016 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonK800cFeature Phoneyescloseclose0.045 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 13:37:20 | by ThaDafinser