User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; FunTab 8 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.99 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-523.php
Chrome 32.0Blink unknownAndroid 4.2OrangeFunTab 8Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Chrome 32.0Blink Android 4.2OrangeFunTab 8Tabletyesyes0.10001 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome 32.0closeAndroid closecloseTabletyesyesclose0.028 Detail
DonatjUAParser
v0.5.1
Chrome 32.0.1700.99closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 32.0.1700.99closeAndroidOS 4.2.2closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 32.0.1700.99closeAndroid 4.2.2FunTab 8desktop-browsercloseclose0.30702 Detail
PiwikDeviceDetector
3.6.1
Chrome 32.0Blink Android 4.2tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 32.0.1700.99closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 32.0.1700closeAndroid 4.2.2FunTab 8closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 32.0.1700.99WebKit 537.36closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.07701 Detail
WhatIsMyBrowserCom

Chrome 32.0.1700.99WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.25401 Detail
WhichBrowser
v2.0.18
Chrome 32Blink Android 4.2.2FunTab 8tabletyescloseclose0.003 Detail
Woothee
v1.2.0
Chrome 32.0.1700.99closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 32.0.1700.99closeAndroid 4.2.2Tabletyesyescloseclose0.018 Detail
Zsxsoft
1.3
Google Chrome 32.0.1700.99closeAndroid 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 07:57:15 | by ThaDafinser