User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; OYSTERS T14N 3G Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.72 Safari/537.36 OPR/19.0.1340.69721

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Opera Mobile 19.0Blink Android 4.2Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Opera Next 19.0.1340.69721closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Opera 19.0Blink Android 4.2OystersT14N 3Gtabletyes Detail
SinergiBrowserDetector
6.0.0
Opera 19.0.1340.69721closeAndroid 4.2.2closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Opera 19.0.1340closeAndroid 4.2.2OYSTERS T14N 3Gcloseclosecloseclose Detail
WhichBrowser
2.0.9
Opera Mobile 19.0Blink 537.36Android 4.2.2OystersT14Nmobile:smartyescloseclose Detail
Woothee
v1.2.0
Opera 19.0.1340.69721closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Opera 19closeAndroid 4.2OystersT14N 3GTabletyesyescloseclose 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 16:40:25 | by ThaDafinser