User agent detail

NGM_Coffee/ObigoInternetBrowser/QO3C Profile/MIDP2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/smartphone-2.yml
Obigo QO3C NGMCoffeesmartphoneyes Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
NGM closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo closeJVM NGMCoffeemobile-browseryescloseclose0.183 Detail
PiwikDeviceDetector
3.5.2
Obigo QO3C NGMCoffeesmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo close closeclosecloseclose0.008 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo Browser closeclosecloseclosecloseclose0.404 Detail
WhichBrowser
2.0.10
Obigo Q 3C NGMCoffeemobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close NGMCoffeeFeature Phoneyescloseclose0.01901 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 13:41:37 | by ThaDafinser