User agent detail

Mozilla/5.0 (Linux; Android 4.4.2; D2403 Build/18.3.C.0.39) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/30.0.0.0 Mobile Safari/537.36

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Android WebView 4.0Blink Android 4.4Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 30.0.0.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile 30.0Blink Android 4.4SonyXperia M2 Aquasmartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 30.0.0.0closeAndroid 4.4.2closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 30.0.0closeAndroid 4.4.2SonyD2403closeclosecloseclose Detail
WhichBrowser
2.0.9
Chromium WebView 30Blink 537.36Android 4.4.2SonyXperia M2 Aquamobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 30.0.0.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chromium 30closeAndroid 4.4SonyD2403Smartphoneyesyescloseclose 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 16:42:15 | by ThaDafinser