User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; X79 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.114 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SonyEricssonX79closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 34.0Blink Android 4.2Mobile Phoneyesyes0.014 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome 34.0closeAndroid closecloseMobile Phoneyesyesclose0.012 Detail
DonatjUAParser
v0.5.1
Chrome 34.0.1847.114closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 34.0.1847.114closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 34.0.1847.114closeAndroid 4.2.2X79desktop-browsercloseclose0.30502 Detail
PiwikDeviceDetector
3.6.1
Chrome 34.0Blink Android 4.2tabletyes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 34.0.1847.114closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 34.0.1847closeAndroid 4.2.2SonyEricssonX79closeclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 34.0.1847.114WebKit 537.36closeclosecloseMobileclosecloseclose0.16801 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.061 Detail
WhatIsMyBrowserCom

Chrome 34.0.1847.114WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.26502 Detail
WhichBrowser
v2.0.18
Chrome 34Blink Android 4.2.2X79tabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 34.0.1847.114closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 34.0.1847.114closeAndroid 4.2.2SOSOONX79Tabletyesyescloseclose0.019 Detail
Zsxsoft
1.3
Google Chrome 34.0.1847.114closeAndroid 4.2.2closeclosecloseclosecloseclose0.001 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 08:02:38 | by ThaDafinser