User agent detail

Mozilla/5.0 (Linux; Android 4.4.2; M-MP7S2K3G Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/30.0.0.0 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 30.0Blink Android 4.4MediacomSmartPad 7.0 S2 3Gphabletyes Detail
SinergiBrowserDetector
6.0.0
Chrome 30.0.0.0closeAndroid 4.4.2closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome 30.0.0closeAndroid 4.4.2MediacomM-MP7S2K3Gcloseclosecloseclose Detail
WhichBrowser
2.0.9
Chromium WebView 30Blink 537.36Android 4.4.2MediacomSmartPad 7.0 S2tabletyescloseclose Detail
Woothee
v1.2.0
Chrome 30.0.0.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chromium 30closeAndroid 4.4MediacomM-MP7S2K3GTabletyesyescloseclose 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 16:40:04 | by ThaDafinser