User agent detail

NGM_Coffee/ObigoInternetBrowser/QO3C Profile/MIDP2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/smartphone-2.yml
Obigo QO3C NGMCoffeesmartphonecloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-feature.yaml
Obigo Q 3C Coffeemobile:featureclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
NGM closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
ObigoBrowser closeJavaOS closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Obigo closeJVM NGMCoffeemobile-browseryescloseclose0.27102 Detail
PiwikDeviceDetector
3.6.1
Obigo QO3C NGMCoffeesmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
Obigo close closeclosecloseclose0.002 Detail
UserAgentApiCom

Obigo 3 closeclosecloseMobileclosecloseclose0.20101 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

Obigo Browser closeclosecloseclosecloseclose0.34202 Detail
WhichBrowser
v2.0.18
Obigo Q 3C NGMCoffeemobile:featureyescloseclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
Java Applet close NGMCoffeeFeature Phoneyescloseclose0.024 Detail
Zsxsoft
1.3
Obigo InternetBrowserclose closeclosecloseclosecloseclose0 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 2016-05-10 08:08:26 | by ThaDafinser