User agent detail

Mozilla/5.0 (iPod; CPU iPhone OS 6_0_1 like Mac OS X; xx) AppleWebKit/536.26 (KHTML, like Gecko) CriOS/23.0.1271.96 Mobile/10A523 Safari/8536.25 (3189B71D-4F1C-4868-B46A-12A0C07CDBE9)

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 23.0WebKit iOS 6.0AppleMobile Deviceyesyes Detail
DonatjUAParser
v0.5.0
Chrome 23.0.1271.96closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile iOS 23.0WebKit iOS 6.0AppleiPod Touchportable media playeryes Detail
SinergiBrowserDetector
6.0.0
Chrome 23.0.1271.96closeiOS 6.0.1closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile iOS 23.0.1271closeiOS 6.0.1AppleiPodcloseclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 23Webkit 536.26iOS 6.0.1AppleiPod touchmediayescloseclose Detail
Woothee
v1.2.0
Chrome 23.0.1271.96closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile on iOS 23closeiOS 6.0.1AppleiPod TouchOther Mobileyesyescloseclose 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 16:38:55 | by ThaDafinser