User agent detail

Mozilla/5.0 (X11; CYGWIN_NT-6.1) AppleWebKit/537.32 (KHTML, like Gecko) Chrome/18.0.1025.133 Safari/537.32 Midori/0.5

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
Midori 0.5closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Midori 0.5WebKit Windows 7desktop Detail
SinergiBrowserDetector
6.0.0
Chrome 18.0.1025.133close closecloseclosecloseclose Detail
UAParser
v3.4.5
Chrome 18.0.1025close closeclosecloseclose Detail
WhichBrowser
2.0.9
Midori 0.5Webkit 537.32 desktopcloseclose Detail
Woothee
v1.2.0
Chrome 18.0.1025.133closecloseclosecloseclosecloseclose Detail
Wurfl
1.6.4
Chrome 18.0.1025.162closeOpenBSD amd64 Desktopcloseclose 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 16:41:32 | by ThaDafinser