User agent detail

Mozilla/5.0 (Linux; Android 4.1.1; AT400 Build/JRO03C) AppleWebKit/535.19 (KHTML like Gecko) Chrome/18.0.1025.166 Safari/535.19

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
No result found
DonatjUAParser
v0.5.0
Chrome 18.0.1025.166closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome 18.0WebKit Android 4.1ToshibaRegza AT400tabletyes Detail
SinergiBrowserDetector
6.0.0
Chrome 18.0.1025.166closeAndroid 4.1.1closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome 18.0.1025closeAndroid 4.1.1ToshibaAT400closeclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 18Webkit 535.19Android 4.1.1ToshibaRegza AT400tabletyescloseclose Detail
Woothee
v1.2.0
Chrome 18.0.1025.166closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android Webkit 4.1closeAndroid 4.1Tabletyesyescloseclose 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 16:40:01 | by ThaDafinser