User agent detail

Mozilla/4.0 (Brew MP 1.0.4; U; En-us; Kyocera; NetFront/4.1/AMB) Sprint S2151-PLB
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SprintS2151-PLB Detail
Providers
BrowscapPhp
6012
NetFront 4.1NetFront Mobile Deviceyes0.02 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 4.1close KyoceraS2151mobile-browseryescloseclose0.18902 Detail
PiwikDeviceDetector
3.5.2
NetFront 4.1NetFront Brew 1.0KyoceraCoastfeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 4.1closeBrew MP 1.0.4SprintS2151-PLBcloseclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 4.1close closecloseclosecloseclose0.07301 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.41004 Detail
WhichBrowser
2.0.10
NetFront 4.1 Brew MP 1.0.4KyoceraCoast S2151mobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 4.1close KyoceraS2151Feature Phoneyescloseclose0.032 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 13:30:36 | by ThaDafinser