User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; A1-811 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.102 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-523.php
Chrome 38.0Blink unknownAndroid 4.2AcerIconia ATabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 38.0Blink Android 4.2AcerIconia ATabletyesyes0.017 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 38.0closeAndroid closecloseTabletyesyesclose0.012 Detail
DonatjUAParser
v0.5.1
Chrome 38.0.2125.102closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 38.0.2125.102closeAndroidOS 4.2.2closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 38.0.2125.102closeAndroid 4.2.2AcerIconia A1-811desktop-browsercloseclose0.26901 Detail
PiwikDeviceDetector
3.6.1
Chrome 38.0Blink Android 4.2AcerIconia Atabletyes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 38.0.2125.102closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 38.0.2125closeAndroid 4.2.2AcerA1-811closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 38.0.2125.102WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom

Chrome 38.0.2125.102WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Chrome 38Blink Android 4.2.2AcerIconia A1-811tabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 38.0.2125.102closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 38.0.2125.102closeAndroid 4.2.2AcerA1-811Tabletyesyescloseclose0.02 Detail
Zsxsoft
1.3
Google Chrome 38.0.2125.102closeAndroid 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 08:04:27 | by ThaDafinser