An open API service indexing awesome lists of open source software.

https://github.com/mcanouil/quarto-codespaces

Quarto Codespaces / Dev Containers setup for quick online testing.
https://github.com/mcanouil/quarto-codespaces

codespaces devcontainer quarto quartopub

Last synced: about 1 month ago
JSON representation

Quarto Codespaces / Dev Containers setup for quick online testing.

Awesome Lists containing this project

README

        

# Quarto Codespaces

[![Dev Container Docker Image Build](https://github.com/mcanouil/quarto-codespaces/actions/workflows/devcontainer.yml/badge.svg)](https://github.com/mcanouil/quarto-codespaces/actions/workflows/devcontainer.yml)
[![Codespaces Prebuilds](https://github.com/mcanouil/quarto-codespaces/actions/workflows/codespaces/create_codespaces_prebuilds/badge.svg)](https://github.com/mcanouil/quarto-codespaces/actions/workflows/codespaces/create_codespaces_prebuilds)

Setup to deploy [GitHub Codespaces](https://github.com/features/codespaces) (Codespaces) or [Development Containers](https://containers.dev/) (Dev Containers) with [Quarto](https://quarto.org/).

## Overview

This repository provides a setup to deploy Codespaces or Dev Containers with Quarto, supporting R, Python, and Julia environments.
It includes configuration files and scripts to initialise and manage these environments.

[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/mcanouil/quarto-codespaces?quickstart=1&devcontainer_path=.devcontainer%2Fdevcontainer.json)

## Using as a Template

You can use this repository as a template for your own projects.
To do so, click the "Use this template" button on the GitHub repository page.
This will create a new repository with the same files and structure.

## Using with Codespaces

This repository is configured to work with GitHub Codespaces.
To use it, follow these steps:

1. Open the repository on GitHub.
2. Click the "Code" button and select "Open with Codespaces".
3. If you don't have a Codespace already, create a new one.
4. The Codespace will be set up automatically using the configuration provided in this repository.

## Dev Container Configuration

The Dev Container configuration is located in [`.github/.devcontainer/devcontainer.json`](.github/.devcontainer/devcontainer.json).
This file defines the development container settings, including the base image, user settings, and features to be installed.

### Key Features

- **Base Image**: The container uses the `buildpack-deps:jammy-curl` image as the base.
- **Remote User**: The default user is set to `vscode`.
- **Installed Features**:
- Common utilities with Zsh shell.
- Latest Git version.
- R environment with `renv` support and `rmarkdown`.
- Latest Python version with shared libraries and `jupyter`.
- Julia environment with the latest release channel and `IJulia`.
- Quarto CLI with TinyTeX installed.

### Docker Image

The Dev Container configuration is used to build a Docker image that is available for use.
You can pull the latest image using the following command:

```sh
docker pull ghcr.io/mcanouil/quarto-codespaces:latest
```

## Initialisation Script

The initialisation script [init.sh](init.sh) is used to set up the R, Python, and Julia environments.
It supports initialising all environments or specific ones based on the provided options.

### Usage

```sh
./init.sh [--what/-w all|r|python|julia] [--force/-f] [--help/-h]
```

### Script Details

- **Options**:
- `--what/-w`: Specify which environment(s) to initialise (`all`, `r`, `python (uv)`, `julia`).
- `--force/-f`: Force reinstallation of the specified environment(s).
- `--help/-h`: Display help message and exit.
- **Functionality**: The script installs necessary dependencies for R, Python, and Julia, inside environments.
- For R, it sets up `renv` and installs required packages.
- For Python, it sets up uv and installs required libraries.
- For Julia, it sets up an environment and installs required packages.

## Contributing

Contributions are welcome!
Please open an issue or submit a pull request for any improvements or bug fixes.

## License

This project is licensed under the MIT License.
See the [LICENSE](LICENSE) file for details.