User agent detail

MQQBrowser/371 Mozilla/5.0 (iPhone 4S; CPU iPhone OS 6_0_1 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Mobile/10A523 Safari/7534.48.3
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close GenericSmartphoneclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
QQbrowser WebKit iOS AppleiPhoneMobile Phoneyesyes0.016 Detail
BrowscapLite
6014
Mobile Safari UIWebView closeiOS closecloseMobile Phoneyescloseclosecloseclose0.026 Detail
BrowscapPhp
6014
QQbrowser closeiOS closecloseMobile Deviceyesyesclose0.024 Detail
DonatjUAParser
v0.5.1
Safari 7534.48.3closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 7534.48.3closeiOS 6_0_1closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

QQbrowser 371closeiOS 6.0.1SonyEricssonST25imobile-browseryescloseclose0.22201 Detail
PiwikDeviceDetector
3.6.1
QQ Browser 371WebKit iOS 6.0AppleiPhone 4Ssmartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.1
Safari closeiOS 6.0.1closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
QQ Browser Mobile 371closeiOS 6.0.1closeclosecloseclose0.002 Detail
UserAgentApiCom

Safari 7534.48.3WebKit 536.26closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Safari closeiPhone OS 6.0.1closecloseclosecloseclose0.074 Detail
WhatIsMyBrowserCom

QQ Browser 371WebKit 536.26iOS 6.0.1AppleiPhonecloseclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
QQ Browser 371Webkit 536.26iOS 6.0.1AppleiPhone 4Smobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari closeiOS AppleiPhoneSmartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
MQQBrowser 371closeiOS 6.0.1AppleiPhonecloseclosecloseclosecloseclose0 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 08:06:00 | by ThaDafinser