User agent detail

Mozilla/5.0 (iPhone; CPU iPhone OS 8.1.2 like Mac OS X) AppleWebKit/534.46 (KHTML, like Gecko) Version/5.1 Mobile/9A334 Safari/7534.48.3 QHBrowser/1.2.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/browser-360.yaml
Qihoo 360 Browser 1.2.1Webkit 534.46iOS 8.1.2iPhonemobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Safari 5.1WebKit iOS AppleiPhoneMobile Phoneyesyes0.0312 Detail
BrowscapLite
6014
Safari closeiOS closecloseMobile Phoneyescloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Safari 5.1closeiOS closecloseMobile Deviceyesyesclose0.0156 Detail
DonatjUAParser
v0.5.1
Safari 5.1closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 5.1closeiOS 8.1.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Mobile Safari 5.1closeiOS AppleiPhonemobile-browseryescloseclose0.2028 Detail
PiwikDeviceDetector
3.6.1
Mobile Safari 5.1WebKit iOS 8.1AppleiPhonesmartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Safari 5.1closeiOS 8closeiPhonecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Mobile Safari 5.1closeiOS 8.1.2AppleiPhonecloseclosecloseclose0 Detail
UserAgentApiCom

Safari 7534.48.3WebKit 534.46closeclosecloseMobileclosecloseclose1.15441 Detail
UserAgentStringCom

Safari 5.1closeiPhone OS 8.1.2closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

Mobile Safari 5.1WebKit 534.46iOS 8AppleiPhonecloseclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Qihoo 360 Browser 1.2.1Webkit 534.46iOS 8.1.2AppleiPhonemobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Safari 5.1closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari 5.1closeiOS AppleiPhoneSmartphoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Safari 5.1closeiOS 8.1.2AppleiPhonecloseclosecloseclosecloseclose0 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 07:50:24 | by ThaDafinser