This is a very brief summary describing how to get a cloud workstation up and running in a new capsule. See the Code Ocean documentation for more details.
Your first step in this process is to create a new compute capsule.
Your choice of starter image and compute resource is configured at the top of the capsule, shown in the following screenshot. The image “Enable Medicine Base Image” will contain Enable developed packages in R and python.
Once the capsule has been configured, you can start a cloud workstation using a number of different interactive modules, including RStudio, JupyterLab, VSCode (and, depending on the starter image, Ubuntu desktop, Matlab, and others). These options are displayed on the upper right hand corner of the screen once you’ve opened up a capsule.
Your starter image will not automatically update like it did on Posit Workbench! This helps maintain reproducibility of old workflows, but it may be more appropriate to keep the image up to date for any workflows you’re actively developing. If you want to update to the latest release of the workbench image, click Change. It will open a menu like this one:
Click on ## more versions under Select and then Select the release with the highest version number.
<aside> 💡 The image titled “Enable Medicine Base Image (SpatialMap + emObject)” has been released by Enable for our users on Code Ocean, and is the only option currently available on Code Ocean that provides users access to our proprietary R & python packages.
This image currently does not provide support for workflows that require GPUs. If you want to develop workflows with GPUs that use our packages, please contact us at [email protected]!
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