User agent detail

Mozilla/5.0 (iPod; CPU iPhone OS 7_1_2 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Mobile Schoolwires
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-513.php
Schoolwires App 0.0WebKit unknowniOS 7.1AppleiPod TouchMobile Deviceyesyes0 Detail
Providers
BrowscapFull
6014
Schoolwires App WebKit iOS 7.1AppleiPod TouchMobile Deviceyesyes0.011 Detail
BrowscapLite
6014
Mobile Safari UIWebView closeiOS closecloseMobile Deviceyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Schoolwires App closeiOS closecloseMobile Deviceyesyesclose0.009 Detail
DonatjUAParser
v0.5.1
AppleWebKit 536.26closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Mozilla closeiOS 7_1_2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Mobile Safari closeiOS 7.1.2AppleiPod Touchmedia-playeryescloseclose0.19901 Detail
PiwikDeviceDetector
3.6.1
Mobile Safari WebKit iOS 7.1AppleiPod Touchportable media playeryes0.003 Detail
SinergiBrowserDetector
6.0.1
Mozilla 5.0closeiOS 7.1.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Mobile Safari UIWebView 7.1.2closeiOS 7.1.2AppleiPodcloseclosecloseclose0.003 Detail
UserAgentApiCom

Mozilla 5.0WebKit 536.26closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Safari closeiPhone OS 7.1.2closecloseclosecloseclose0.074 Detail
WhatIsMyBrowserCom

WebKit 536.26iOS 7.1.2AppleiPodcloseclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Webkit 536.26iOS 7.1.2AppleiPod touchmediayescloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari 7.1.2closeiOS 7.1.2AppleiPod TouchOther Mobileyesyescloseclose0.02 Detail
Zsxsoft
1.3
closeiOS 7.1.2AppleiPodcloseclosecloseclosecloseclose0 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 08:00:49 | by ThaDafinser