User agent detail

Mozilla/5.0 (iPhone; CPU iPhone OS 9_2 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Mobile/13C75
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-889.php
Mobile Safari UIWebView 0.0WebKit unknowniOS 9.2AppleiPhoneMobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
Mobile Safari UIWebView WebKit iOS 9.2AppleiPhoneMobile Phoneyesyes0.009 Detail
BrowscapLite
6014
Mobile Safari UIWebView closeiOS closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Mobile Safari UIWebView closeiOS closecloseMobile Deviceyesyesclose0.01 Detail
DonatjUAParser
v0.5.1
AppleWebKit 601.1.46closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Mozilla closeiOS 9_2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Mobile Safari closeiOS 9.2AppleiPhonemobile-browseryescloseclose0.19701 Detail
PiwikDeviceDetector
3.6.1
Mobile Safari WebKit iOS 9.2AppleiPhonesmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Mozilla 5.0closeiOS 9.2closeiPhonecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Mobile Safari UIWebView 9.2closeiOS 9.2AppleiPhonecloseclosecloseclose0.002 Detail
UserAgentApiCom

Mozilla 5.0WebKit 601.1.46closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Safari closeiPhone OS 9.2closecloseclosecloseclose0.069 Detail
WhatIsMyBrowserCom

WebKit 601.1.46iOS 9.2AppleiPhonecloseclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Webkit 601.1.46iOS 9.2AppleiPhonemobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Webview closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari 9.2closeiOS 9.2AppleiPhoneSmartphoneyesyescloseclose0.025 Detail
Zsxsoft
1.3
closeiOS 9.2AppleiPhonecloseclosecloseclosecloseclose0.001 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 07:57:33 | by ThaDafinser