User agent detail

Mozilla/5.0 (iPhone 4Verizon; CPU iPhone OS 6_1_3 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Version/6.0 MQQBrowser/5.0.4 Mobile/10B329 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 536.26iOS 6.1.3iPhone 4mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Safari 6.0WebKit iOS 6.1AppleiPhoneMobile Phoneyesyes0.0936 Detail
BrowscapLite
6014
Safari 6.0closeiOS closecloseMobile Phoneyescloseclosecloseclose0 Detail
BrowscapPhp
6014
Safari 6.0closeiOS closecloseMobile Deviceyesyesclose0.0468 Detail
DonatjUAParser
v0.5.1
Safari 6.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 6.0closeiOS 6_1_3closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Mobile Safari 6.0closeiOS 6.1.3AppleiPhonemobile-browseryescloseclose0.2028 Detail
PiwikDeviceDetector
3.6.1
QQ Browser 5.0WebKit iOS 6.1AppleiPhone 4smartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Safari 6.0closeiOS 6.1.3closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
QQ Browser Mobile 5.0.4closeiOS 6.1.3closeclosecloseclose0 Detail
UserAgentApiCom

Safari 8536.25WebKit 536.26closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

Safari 6.0closeiPhone OS 6.1.3closecloseclosecloseclose0.0624 Detail
WhatIsMyBrowserCom

QQ Browser 5.0.4WebKit 536.26iOS 6.1.3AppleiPhonecloseclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
QQ Browser 5.0Webkit 536.26iOS 6.1.3AppleiPhone 4mobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Safari 6.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari 6.0closeiOS AppleiPhoneSmartphoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
MQQBrowser 5.0.4closeiOS 6.1.3AppleiPhonecloseclosecloseclosecloseclose0 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 07:51:08 | by ThaDafinser