User agent detail

Mozilla/5.0 (Linux; Android 4.4.2; M-MP7S2D3G Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.111 Safari/537.36

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 42.0Blink Android 4.4Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 42.0.2311.111closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome 42.0Blink Android 4.4MediacomSmartPad 7.0 S2 3Gphabletyes Detail
SinergiBrowserDetector
6.0.0
Chrome 42.0.2311.111closeAndroid 4.4.2closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome 42.0.2311closeAndroid 4.4.2MediacomM-MP7S2D3Gcloseclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 42Blink 537.36Android 4.4.2MediacomSmartPad 7.0 S2tabletyescloseclose Detail
Woothee
v1.2.0
Chrome 42.0.2311.111closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 42closeAndroid 4.4MediacomM-MP7S2D3GTabletyesyescloseclose 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 16:42:38 | by ThaDafinser