User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; A1-811 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.131 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-525.php
Chrome 36.0Blink unknownAndroid 4.2AcerIconia ATabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 36.0Blink Android 4.2AcerIconia ATabletyesyes0.014 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 36.0closeAndroid closecloseTabletyesyesclose0.008 Detail
DonatjUAParser
v0.5.1
Chrome 36.0.1985.131closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 36.0.1985.131closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 36.0.1985.131closeAndroid 4.2.2AcerIconia A1-811desktop-browsercloseclose0.31381 Detail
PiwikDeviceDetector
3.6.1
Chrome 36.0Blink Android 4.2AcerIconia Atabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 36.0.1985.131closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 36.0.1985closeAndroid 4.2.2AcerA1-811closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 36.0.1985.131WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.11501 Detail
WhatIsMyBrowserCom

Chrome 36.0.1985.131WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Chrome 36Blink Android 4.2.2AcerIconia A1-811tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 36.0.1985.131closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Chrome 36.0.1985.131closeAndroid 4.2.2AcerA1-811Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 36.0.1985.131closeAndroid 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 07:55:38 | by ThaDafinser