User agent detail

Mozilla/4.0 (MobilePhone PM-8200/US/1.0) NetFront/3.x MMP/2.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/feature_phone.yml
NetFront 3 NetFront SanyoPM-8200feature phone Detail
Providers
BrowscapPhp
6012
NetFront NetFront Mobile Deviceyes0.014 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.xclose SanyoPM-8200mobile-browseryescloseclose0.19002 Detail
PiwikDeviceDetector
3.5.2
NetFront 3NetFront SanyoPM-8200feature phoneyes0.01 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
close closeclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.xclose closecloseclosecloseclose0.049 Detail
WhatIsMyBrowserCom
NetFront Mobilecloseclosecloseclosecloseclose0.40504 Detail
WhichBrowser
2.0.10
NetFront 3 SanyoPM-8200mobile:featureyescloseclose0.006 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
close SanyoPM-8200Feature Phoneyescloseclose0.013 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 13:30:33 | by ThaDafinser