User agent detail

Mozilla/5.0 (iPhone; U; CPU iPhone OS 4_3_2 like Mac OS X; xx) AppleWebKit/533.17.9 (KHTML, like Gecko) FlyFlow/2.5 Version/5.0.2 Mobile/8H7 Safari/6533.18.5 baidubrowser/042_3.9.5.2_diordna_008_084/ESNESIH_51_3.0.4_69T-SH/1000256c/847AAB49ED14109F7BACD70DAED48491%7C696799010655468/1

Detected by 8 of 8 providers
As bot detected by 0 of 7

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Safari 5.0WebKit iOS 4.3AppleiPhoneMobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Safari 5.0.2closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Baidu Browser 042WebKit iOS 4.3AppleiPhonesmartphoneyes Detail
SinergiBrowserDetector
6.0.0
Safari 5.0.2closeiOS 4.3.2closeiPhonecloseyesclosecloseclose Detail
UAParser
v3.4.5
Baidu Browser 42closeiOS 4.3.2AppleiPhonecloseclosecloseclose Detail
WhichBrowser
2.0.9
Baidu Browser 2.5Webkit 533.17.9iOS 4.3.2AppleiPhonemobile:smartyescloseclose Detail
Woothee
v1.2.0
Safari 5.0.2closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Mobile Safari 5.0.2closeiOS 4.3.2AppleiPhoneSmartphoneyesyescloseclose 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 2016-01-26 16:43:17 | by ThaDafinser