User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.3; en_ca) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Ninesky-android-mobile/2.1.0 Safari/533.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/browser-ninesky.yaml
NineSky 2.1.0Webkit 533.1Android 2.3.3mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 2.3Mobile Phoneyesyes0.03 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Safari 4.0closeiOS closecloseMobile Deviceyesyesclose0.051 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 2.3.3closeclosecloseyescloseclose0.007 Detail
NeutrinoApiCom

NineSky 2.1.0closeAndroid 2.3.3mobile-browseryescloseclose0.20301 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 2.3yes0.005 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.3.3closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 2.3.3closeAndroid 2.3.3closeclosecloseclose0.003 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeandroid closecloseclosecloseclose0.072 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 533.1Android 2.3.3closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
NineSky 2.1.0Webkit 533.1Android 2.3.3mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 2.3.3closeAndroid 2.3.3Smartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 2.3.3closeclosecloseclosecloseclose0 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 08:11:51 | by ThaDafinser