User agent detail

KWC-K28/4.0 (MobilePhone; Brew/2.0) NetFront/3.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
KyoceraK28 Detail
Providers
BrowscapPhp
6012
NetFront 3.1NetFront Mobile Deviceyes0.024 Detail
DonatjUAParser
v0.5.0
KWC-K28 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.1close AccessNetFront Ver. 3.1mobile-browseryescloseclose0.216 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.1NetFront Brew 2.0KyoceraK28smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.1close KyoceraK28closeclosecloseclose0.005 Detail
UserAgentStringCom
NetFront 3.1close closecloseclosecloseclose0.092 Detail
WhatIsMyBrowserCom
NetFront Mobilecloseclosecloseclosecloseclose0.413 Detail
WhichBrowser
2.0.10
NetFront 3.1 Brew KyoceraK28mobile:featureyescloseclose0.01 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.1close AccessNetFront Ver. 3.1Feature Phoneyescloseclose0.015 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 13:28:01 | by ThaDafinser