Code Ocean

Your dashboard

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

User Manual

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

Creating a capsule in a language without a pre-existing starter environment

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

Creating an App Panel

How to create a private copy of either published or unpublished code.

Duplicating a compute capsule

Letting others view or edit your unpublished code.

Sharing Capsules

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

.sh (re: shell) scripts on Code Ocean

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

GPU support

For discovery and intelligibility on Code Ocean's Explore page

Uploading a cover image

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

Installing additional Jupyter kernels

Capsule setup

Running your code from top to bottom by default

How to write (and set) a run script

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

Running your code headlessly

Reproducible code execution

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

Advanced installer configuration in the package management system

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

Using MRAN snapshots to install archived R packages

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

Installing R packages through postInstall

Advanced environment configuration

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

Exploring and modifying published code

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

Exporting capsules and reproducing results on your local machine

Sharing and finding published capsules

Questions? Email support@codeocean.com

Find answers and get help from Intercom Support and Community Experts

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