Workbench is a cloud-based tool that allows you to analyze your data in sessions based in RStudio, Jupyterlab, and other IDEs. Compute sessions launched through Workbench can come pre-loaded with proprietary software packages developed by Enable to facilitate secure and flexible communication with our database, and analysis of spatial biology data.

Code Ocean is a new development environment that Enable is transitioning our workbench offering to, with massively improved set of computational capabilities (including more compute power and support for GPUs), and a renewed emphasis on reproducibility and share-ability of computation in the concept of compute capsules.

<aside> 💡 If you’re new to Code Ocean, check out this webinar ran by the Code Ocean team! If you’d like to learn about some more advanced features in Code Ocean, you can also check out this tutorial on Pipelines (more information available in their user manual)

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For more detail on the fundamental concepts in Code Ocean (including more detail on the structure and functioning of a compute capsule!) please see the Code Ocean user manual.

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Analysis in R on Workbench

Logging into Workbench

Generating an API key

Configuring and starting a cloud workstation

Data management on Code Ocean

Guide to User Secrets on Code Ocean

Sharing assets within Code Ocean

Support for python on Code Ocean

Changelog for Enable Medicine packages on Workbench

Migration resources

Code Ocean migration quick start

Mapping of Concepts Between Posit → Code Ocean

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