User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; A1-830 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.141 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
MobileDetect
2.8.22
vendor/mobiledetect/mobiledetectlib/tests/providers/vendors/Acer.php
close closecloseyescloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 35.0Blink Android 4.2AcerIconia A1-830Tabletyesyes0.017 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.01 Detail
BrowscapPhp
6014
Chrome 35.0closeAndroid closecloseTabletyesyesclose0.009 Detail
DonatjUAParser
v0.5.1
Chrome 35.0.1916.141closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 35.0.1916.141closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 35.0.1916.141closeAndroid 4.2.2AcerIconia A1-830desktop-browsercloseclose0.26302 Detail
PiwikDeviceDetector
3.6.1
Chrome 35.0Blink Android 4.2AcerIconia A1tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 35.0.1916.141closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 35.0.1916closeAndroid 4.2.2AcerA1-830closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 35.0.1916.141WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom

Chrome 35.0.1916.141WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
Chrome 35Blink Android 4.2.2AcerIconia A1-830tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 35.0.1916.141closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 35.0.1916.141closeAndroid 4.2.2AcerA1-830Tabletyesyescloseclose0.029 Detail
Zsxsoft
1.3
Google Chrome 35.0.1916.141closeAndroid 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 07:58:08 | by ThaDafinser