Shiny without Boundaries
Rethinking Shiny Containerization: The shinydocker Experiment
This post introduces {shinydocker}, an experimental R package that automates the containerization process for both R Shiny and Shiny for Python applications. By providing a unified interface for creating Docker configurations, building images, and managing containers, {shinydocker} eliminates the steep learning curve associated with Docker while following best practices for containerizing Shiny applications. We discuss the package’s architecture, features, and future plans to support additional container runtimes through a dedicated abstraction layer.
Simplifying File-based Examples with @examplesTempdir in R Packages
The @examplesTempdir tag automatically wraps your roxygen2 examples with code that runs in a temporary directory, helping you comply with CRAN’s file writing policies without the boilerplate. Install {rocleteer} (Package website) and use @examplesTempdir instead of @examples when your examples need to work with files.
From Experiment to Action: R Package CRAN Submission GitHub Action
Julia Comes to Google Colab
First Steps toward Automating CRAN Submissions with GitHub Actions
Automating Library Updates with GitHub Actions
Posit’s New Brand YML Specification for Themes Makes Its Debut!
Creating Desktop Shortcuts for Box, Dropbox, Google Drive, and iCloud on macOS using symlinks
