User agent detail

Mozilla/5.0 (Linux; Android 5.1.1; MID4X10 Build/LMY47V) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.95 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
MobileDetect
2.8.22
vendor/mobiledetect/mobiledetectlib/tests/providers/vendors/Others.php
close closecloseyescloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 48.0Blink Android 5.1Mobile Phoneyesyes0.029 Detail
BrowscapLite
6014
Chrome 48.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Chrome 48.0closeAndroid closecloseMobile Phoneyesyesclose0.011 Detail
DonatjUAParser
v0.5.1
Chrome 48.0.2564.95closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 48.0.2564.95closeAndroidOS 5.1.1closeclosecloseyescloseclose0.003 Detail
NeutrinoApiCom

Chrome 48.0.2564.95closeAndroid 5.1.1MID4X10desktop-browsercloseclose0.29802 Detail
PiwikDeviceDetector
3.6.1
Chrome 48.0Blink Android 5.1tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 48.0.2564.95closeAndroid 5.1.1closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 48.0.2564closeAndroid 5.1.1MID4X10closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 48.0.2564.95WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 5.1.1closecloseclosecloseclose0.08701 Detail
WhatIsMyBrowserCom

Chrome 48.0.2564.95WebKit 537.36Android 5.1.1closeclosecloseclosecloseclose0.25101 Detail
WhichBrowser
v2.0.18
Chrome 48Blink Android 5.1.1MID4X10tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 48.0.2564.95closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 48.0.2564.95closeAndroid 5.1.1Tabletyesyescloseclose0.02 Detail
Zsxsoft
1.3
Google Chrome 48.0.2564.95closeAndroid 5.1.1closeclosecloseclosecloseclose0 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 08:04:09 | by ThaDafinser