User agent detail

Mozilla/3.0(WILLCOM;KYOCERA/WX01K/2;1.0.11.14.000000/1/C256) NetFront/3.4
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
GenericFeature Phone Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.024 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.4close KyoceraWX02Kmobile-browseryescloseclose0.31003 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront KyoceraWX01Ksmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 3.0(WILLCOM;KYOCERA/WX01K/2;1.0.11.14.000000/1/C256)close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.4close closeclosecloseclose0.01 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.06901 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.40804 Detail
WhichBrowser
2.0.10
NetFront 3.4 KyoceraWX01Kmobile:featureyescloseclose0.003 Detail
Woothee
v1.2.0
WILLCOM WX01Kcloseclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.6.4
NetFront 3.4close KyoceraWX02KFeature Phoneyescloseclose0.026 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 13:40:28 | by ThaDafinser