Code Ocean

Your dashboard

In-depth operating instructions for Code Ocean's features.

Select 'Ubuntu Linux 18.04' from the 'Starter Environments' in the 'Environment' tab to configure your base environment through 'apt-get'.

Using command-line options to provide users point-and-click input.

How to create a private copy of either published or unpublished code.

Letting others view or edit your unpublished code.

These are shell scripts, arguably the most elegant and powerful way to run and chain your analyses together.

Select a base environment with CUDA and/or a deep learning framework installed and begin.

For discovery and intelligibility on Code Ocean's Explore page

Python, R, Julia, and Stata kernels on Code Ocean.

Running your code from top to bottom by default

A primer on what will and will not run on Code  Ocean

Adding Conda channels and APT PPAs, or configuring the CRAN mirror

How to match your computational environment to the R packages available in a prior time

A few notes on flags and parameters you may need to add

Using Code Ocean's Explore page to check out published capsules.

Steps for running code as you find it on Code Ocean locally.

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