User agent detail

DoCoMo/2.0 NetFront3.0(c100;TB)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
DoCoMoNetFront3 Detail
Providers
BrowscapPhp
6012
DoCoMo 2.0 JAVA Mobile Deviceyes0.008 Detail
DonatjUAParser
v0.5.0
DoCoMo 2.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.0close DoCoMomobile-browseryescloseclose0.18405 Detail
PiwikDeviceDetector
3.5.2
NetFront NetFront DoCoMoNetFront3feature phoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close DoCoMoNetFront3closeclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.0close closecloseclosecloseclose0.05702 Detail
WhatIsMyBrowserCom
NetFront NetFront3closeclosecloseclosecloseclose0.40812 Detail
WhichBrowser
2.0.10
NetFront 3.0 NetFront3mobile:featureyescloseclose0.006 Detail
Woothee
v1.2.0
docomo NetFront3.0closeclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.6.4
close DoCoMoN-01AFeature Phoneyescloseclose0.03 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 13:37:32 | by ThaDafinser