User agent detail

Mozilla/5.0 (iPad; U; CPU OS 4_3_3 like Mac OS X; xx) AppleWebKit/534.46.0 (KHTML, like Gecko) CriOS/21.0.1180.82 Mobile/8J2 Safari/7534.48.3 (841B1A38-329C-4D7B-9F54-FB50CC35E37D)

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 21.0WebKit iOS 4.3AppleiPadTabletyesyes Detail
DonatjUAParser
v0.5.0
Chrome 21.0.1180.82closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile iOS 21.0WebKit iOS 4.3AppleiPadtabletyes Detail
SinergiBrowserDetector
6.0.0
Chrome 21.0.1180.82closeiOS 4.3.3closeiPadcloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile iOS 21.0.1180closeiOS 4.3.3AppleiPadcloseclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 21Webkit 534.46.0iOS 4.3.3AppleiPadtabletyescloseclose Detail
Woothee
v1.2.0
Chrome 21.0.1180.82closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Mobile Safari 5.0.2closeiOS 4.3.2AppleiPadTabletyesyescloseclose 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 16:38:40 | by ThaDafinser