User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; RC0743H Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.114 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/tablet.yml
Chrome 38.0.2125.114Blink Android 4.2.23QRC0743Htabletcloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 38.0Blink Android 4.2Mobile Phoneyesyes0.10101 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.013 Detail
BrowscapPhp
6014
Chrome 38.0closeAndroid closecloseMobile Phoneyesyesclose0.04 Detail
DonatjUAParser
v0.5.1
Chrome 38.0.2125.114closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 38.0.2125.114closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 38.0.2125.114closeAndroid 4.2.23QQoo! Q-Pad RC0743Hdesktop-browsercloseclose0.27302 Detail
PiwikDeviceDetector
3.6.1
Chrome 38.0Blink Android 4.23QRC0743Htabletyes0.002 Detail
SinergiBrowserDetector
6.0.1
Chrome 38.0.2125.114closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 38.0.2125closeAndroid 4.2.23QRC0743Hcloseclosecloseclose0 Detail
UserAgentApiCom

Chrome 38.0.2125.114WebKit 537.36closeclosecloseMobileclosecloseclose0.17101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.07 Detail
WhatIsMyBrowserCom

Chrome 38.0.2125.114WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.42302 Detail
WhichBrowser
v2.0.18
Chrome 38Blink Android 4.2.23QQoo! Q-Pad RC0743Htabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 38.0.2125.114closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 38.0.2125.114closeAndroid 4.2.2Tabletyesyescloseclose0.021 Detail
Zsxsoft
1.3
Google Chrome 38.0.2125.114closeAndroid 4.2.2closeclosecloseclosecloseclose0 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 07:56:10 | by ThaDafinser