Difference between revisions of "Downloads"
Line 3: | Line 3: | ||
=== Matlab and Linux Standalone === | === Matlab and Linux Standalone === | ||
− | Please follow this [https://drive.google.com/open?id= | + | Please follow this [https://drive.google.com/open?id=0B_T9apWxsZjMRVNBSS1XMmtodWc google drive link] to download ''Dynamo''. You can safely ignore any complaint of your browser about not being able to preview the file. |
This package is around 3.7Gb as it includes the standalone [[MCR libraries|Matlab MCR libraries]] of Matlab R2017a. The <tt>tar</tt> file can be [[installation|installed]] both as [[Standalone|standalone]] or inside the [[Dynamo Matlab version|Matlab environment]]. | This package is around 3.7Gb as it includes the standalone [[MCR libraries|Matlab MCR libraries]] of Matlab R2017a. The <tt>tar</tt> file can be [[installation|installed]] both as [[Standalone|standalone]] or inside the [[Dynamo Matlab version|Matlab environment]]. |
Revision as of 10:26, 12 July 2017
Contents
Dynamo package
Matlab and Linux Standalone
Please follow this google drive link to download Dynamo. You can safely ignore any complaint of your browser about not being able to preview the file.
This package is around 3.7Gb as it includes the standalone Matlab MCR libraries of Matlab R2017a. The tar file can be installed both as standalone or inside the Matlab environment.
Standalone for MAC
If you plan to use Dynamo in the Mac without a Matlab license use this google drive link. This link is updated less frequently than the link for the latest Linux version. If you want the latest version of Dynamo as standalone for the Mac, drop us an email.
Alternate standalone versions
Note on the standalone use of Dynamo: We deliver in this google drive link the standalone compiled against the MCR library of Matlab R2015a (also included in the .tar file). Version R2015a ensures full compatibility with all Linux distributions. Libraries R2015b onwards deliver higher performance on rendering of graphic objects.
Example data sets
Examples of training data sets will be updated here