User agent detail

Mozilla/5.0 (iPhone 5SGSM; CPU iPhone OS 7_0_4 like Mac OS X) AppleWebKit/537.51.1 (KHTML, like Gecko) Version/6.0 MQQBrowser/5.0.4 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 Phoneyesyes0.06 Detail
BrowscapLite
6014
Safari 6.0closeiOS closecloseMobile Phoneyescloseclosecloseclose0.004 Detail
BrowscapPhp
6014
Safari 6.0closeiOS closecloseMobile Deviceyesyesclose0.016 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-browseryescloseclose0.20701 Detail
PiwikDeviceDetector
3.6.1
QQ Browser 5.0WebKit iOS 7.0AppleiPhone 5Ssmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Safari 6.0closeiOS 7.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
QQ Browser Mobile 5.0.4closeiOS 7.0.4closeclosecloseclose0.004 Detail
UserAgentApiCom

Safari 8536.25WebKit 537.51.1closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Safari 6.0closeiPhone OS 7.0.4closecloseclosecloseclose0.07 Detail
WhatIsMyBrowserCom

QQ Browser 5.0.4WebKit 537.51.1iOS 7.0.4AppleiPhonecloseclosecloseclosecloseclose0.40702 Detail
WhichBrowser
v2.0.18
QQ Browser 5.0Webkit 537.51.1iOS 7.0.4AppleiPhone 5mobile:smartyescloseclose0.003 Detail
Woothee
v1.2.0
Safari 6.0closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Mobile Safari 6.0closeiOS AppleiPhoneSmartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
MQQBrowser 5.0.4closeiOS 7.0.4AppleiPhonecloseclosecloseclosecloseclose0.001 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 08:09:20 | by ThaDafinser