User agent detail

Mozilla/5.0 (iPhone 5CGLOBAL; CPU iPhone OS 7_0_4 like Mac OS X) AppleWebKit/537.51.1 (KHTML, like Gecko) Version/6.0 MQQBrowser/5.0.1 Mobile/11B554a Safari/8536.25
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-ios.yaml
QQ Browser 5.0Webkit 537.51.1iOS 7.0.4iPhone 5mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Safari 6.0WebKit iOS 7.0AppleiPhoneMobile Phoneyesyes0.089 Detail
BrowscapLite
6014
Safari 6.0closeiOS closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Safari 6.0closeiOS closecloseMobile Deviceyesyesclose0.02 Detail
DonatjUAParser
v0.5.1
Safari 6.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 6.0closeiOS 7_0_4closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Mobile Safari 6.0closeiOS 7.0.4AppleiPhonemobile-browseryescloseclose0.20001 Detail
PiwikDeviceDetector
3.6.1
QQ Browser 5.0WebKit iOS 7.0AppleiPhone 5Csmartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
Safari 6.0closeiOS 7.0.4closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
QQ Browser Mobile 5.0.1closeiOS 7.0.4closeclosecloseclose0.002 Detail
UserAgentApiCom

Safari 8536.25WebKit 537.51.1closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Safari 6.0closeiPhone OS 7.0.4closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

QQ Browser 5.0.1WebKit 537.51.1iOS 7.0.4AppleiPhonecloseclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
QQ Browser 5.0Webkit 537.51.1iOS 7.0.4AppleiPhone 5mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 6.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari 6.0closeiOS AppleiPhoneSmartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
MQQBrowser 5.0.1closeiOS 7.0.4AppleiPhonecloseclosecloseclosecloseclose0 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 08:03:24 | by ThaDafinser