User agent detail

Mozilla/4.0 (Brew MP 1.0.4; U; en-us; Kyocera; NetFront/4.1/AMB) Sprint S2151-BST
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/feature_phone.yml
NetFront 4.1Brew 1.0.4NetFront KyoceraCoastfeature phone Detail
Providers
BrowscapPhp
6012
NetFront 4.1NetFront Mobile Deviceyes0.014 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 4.1close KyoceraS2151mobile-browseryescloseclose0.179 Detail
PiwikDeviceDetector
3.5.2
NetFront 4.1NetFront Brew 1.0KyoceraCoastfeature phoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 4.1closeBrew MP 1.0.4SprintS2151-BSTcloseclosecloseclose0.007 Detail
UserAgentStringCom
NetFront 4.1close closecloseclosecloseclose0.457 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.571 Detail
WhichBrowser
2.0.10
NetFront 4.1 Brew MP 1.0.4KyoceraCoast S2151mobile:featureyescloseclose0.005 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 4.1close KyoceraS2151Feature Phoneyescloseclose0.011 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 13:33:25 | by ThaDafinser