User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; A1-811 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.141 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-525.php
Chrome 35.0Blink unknownAndroid 4.2AcerIconia ATabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 35.0Blink Android 4.2AcerIconia ATabletyesyes0.078 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.009 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 A1-811desktop-browsercloseclose0.30302 Detail
PiwikDeviceDetector
3.6.1
Chrome 35.0Blink Android 4.2AcerIconia Atabletyes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 35.0.1916.141closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 35.0.1916closeAndroid 4.2.2AcerA1-811closeclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 35.0.1916.141WebKit 537.36closeclosecloseMobileclosecloseclose0.16101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.076 Detail
WhatIsMyBrowserCom

Chrome 35.0.1916.141WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.32702 Detail
WhichBrowser
v2.0.18
Chrome 35Blink Android 4.2.2AcerIconia A1-811tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 35.0.1916.141closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 35.0.1916.141closeAndroid 4.2.2AcerA1-811Tabletyesyescloseclose0.016 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 07:54:37 | by ThaDafinser