User agent detail

Mozilla/5.0 (Linux; U; Android 4.0.3; xx; KFOT Build/IML74K) AppleWebKit/537.36 (KHTML, like Gecko) Silk/3.39 like Chrome/34.0.1847.137 Safari/537.36

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Silk 3.39Blink Android 4.0AmazonKindle Fire 7Tabletyesyes Detail
DonatjUAParser
v0.5.0
Silk 3.39closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome 34.0Blink Android 4.0AmazonKindle Firetabletyes Detail
SinergiBrowserDetector
6.0.0
Chrome 34.0.1847.137closeAndroid 4.0.3closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Amazon Silk 3.39closeAndroid 4.0.3AmazonKindle Firecloseclosecloseclose Detail
WhichBrowser
2.0.9
Silk 3.39Blink 537.36FireOS 2AmazonKindle Firetabletyescloseclose Detail
Woothee
v1.2.0
Chrome 34.0.1847.137closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 34closeAndroid 4.0AmazonKFOTTabletyesyescloseclose 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 16:42:22 | by ThaDafinser