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r2u for Codespaces

The .devcontainer directory provides a small self-containted file devcontainer.json to launch an executable environment R using r2u. It is based on the example in Grant McDermott's codespaces-r2u repo and reuses its documentation. It is driven by the Rocker Project's Devcontainer Features repo creating a fully functioning R environment for cloud use in a few minutes. And thanks to r2u you can add easily to this environment by installing new R packages in a fast and failsafe way.

Try it out

To get started, simply click on the green "Code" button at the top right. Then select the "Codespaces" tab and click the "+" symbol to start a new Codespace.

The first time you do this, it will open up a new browser tab where your Codespace is being instantiated. This first-time instantiation will take a few minutes (feel free to click "View logs" to see how things are progressing) so please be patient. Once built, your Codespace will deploy almost immediately when you use it again in the future.

After the VS Code editor opens up in your browser, feel free to open up the examples/sfExample.R file. It demonstrates how r2u enables us install packages and their system-dependencies with ease, here installing packages sf (including all its geospatial dependencies) and ggplot2 (including all its dependencies). You can run the code easily in the browser environment: Highlight or hover over line(s) and execute them by hitting Cmd+Return (Mac) / Ctrl+Return (Linux / Windows).

Do not forget to close your Codespace once you have finished using it. Click the "Codespaces" tab at the very bottom left of your code editor / browser and select "Close Current Codespace" in the resulting pop-up box. You can restart it at any time, for example by going to and clicking on your instance.

Extend r2u with r-universe

r2u offers "fast, easy, reliable" access to all of CRAN via binaries for Ubuntu focal and jammy. When using the latter (as is the default), it can be combined with r-universe and its Ubuntu jammy binaries. We demontrates this in a second example file examples/censusExample.R which install both the cellxgene-census and tiledbsoma R packages as binaries from r-universe (along with about 100 dependencies), downloads single-cell data from Census and uses Seurat to create PCA and UMAP decomposition plots. Note that in order run this you have to change the Codespaces default instance from 'small' (4gb ram) to 'large' (16gb ram).

Local DevContainer build

Codespaces are DevContainers running in the cloud (where DevContainers are themselves just Docker images running with some VS Code sugar on top). This gives you the very powerful ability to 'edit locally' but 'run remotely' in the hosted codespace. To test this setup locally, simply clone the repo and open it up in VS Code. You will need to have Docker installed and running on your system (see here). You will also need the Remote Development extension (you will probably be prompted to install it automatically if you do not have it yet). Select "Reopen in Container" when prompted. Otherwise, click the >< tab at the very bottom left of your VS Code editor and select this option. To shut down the container, simply click the same button and choose "Reopen Folder Locally". You can always search for these commands via the command palette too (Cmd+Shift+p / Ctrl+Shift+p).

Use in Your Repo

To add this ability of launching Codespaces in the browser (or editor) to a repo of yours, create a directory .devcontainers in your selected repo, and add the file .devcontainers/devcontainer.json. You can customize it by enabling other feature, or use the postCreateCommand field to install packages (while taking full advantage of r2u).


There are a few key "plumbing" pieces that make everything work here. Thanks to: