User agent detail

MQQBrowser/40 Mozilla/5.0 (iPhone 4; CPU iPhone OS 6_1_2 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Mobile/10B146 Safari/7534.48.3
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-ios.yaml
QQ Browser 4.0Webkit 536.26iOS 6.1.2iPhone 4mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
QQbrowser WebKit iOS AppleiPhoneMobile Phoneyesyes0.011 Detail
BrowscapLite
6014
Mobile Safari UIWebView closeiOS closecloseMobile Phoneyescloseclosecloseclose0.023 Detail
BrowscapPhp
6014
QQbrowser closeiOS closecloseMobile Deviceyesyesclose0.014 Detail
DonatjUAParser
v0.5.1
Safari 7534.48.3closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 7534.48.3closeiOS 6_1_2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

QQbrowser 40closeiOS 6.1.2SonyEricssonST25imobile-browseryescloseclose0.20401 Detail
PiwikDeviceDetector
3.6.1
QQ Browser 40WebKit iOS 6.1AppleiPhone 4smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
Safari closeiOS 6.1.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
QQ Browser Mobile 40closeiOS 6.1.2closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 7534.48.3WebKit 536.26closeclosecloseMobileclosecloseclose0.15701 Detail
UserAgentStringCom

Safari closeiPhone OS 6.1.2closecloseclosecloseclose0.12901 Detail
WhatIsMyBrowserCom

QQ Browser 40WebKit 536.26iOS 6.1.2AppleiPhonecloseclosecloseclosecloseclose0.24901 Detail
WhichBrowser
v2.0.18
QQ Browser 4.0Webkit 536.26iOS 6.1.2AppleiPhone 4mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari closeiOS AppleiPhoneSmartphoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
MQQBrowser 40closeiOS 6.1.2AppleiPhonecloseclosecloseclosecloseclose0 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 08:06:08 | by ThaDafinser