User agent detail

Mozilla/5.0 (Linux; U; Android 4.4.3; xx; KFAPWI Build/KTU84M) AppleWebKit/537.36 (KHTML, like Gecko) Silk/3.41 like Chrome/37.0.2026.117 Safari/537.36

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Silk 3.41Blink Android 4.4AmazonKindleEbook Readeryesyes Detail
DonatjUAParser
v0.5.0
Silk 3.41closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome 37.0Blink Android 4.4AmazonKindle Fire HDX 8.9" WiFitabletyes Detail
SinergiBrowserDetector
6.0.0
Chrome 37.0.2026.117closeAndroid 4.4.3closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Amazon Silk 3.41closeAndroid 4.4.3AmazonKindle Fire HDX 8.9" WiFicloseclosecloseclose Detail
WhichBrowser
2.0.9
Silk 3.41Blink 537.36FireOS 4.5AmazonKindle Fire HDX 8.9"tabletyescloseclose Detail
Woothee
v1.2.0
Chrome 37.0.2026.117closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 37closeAndroid 4.4AmazonKFAPWITabletyesyescloseclose 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 16:42:12 | by ThaDafinser