R configurations for Docker. Contribute to rocker-org/rocker development by creating an account on GitHub.

Docker Compose Example with Shiny Apps. Contribute to analythium/docker-compose-shiny-example development by creating an account on GitHub.

A docker tutorial for reproducible research. Contribute to ropenscilabs/r-docker-tutorial development by creating an account on GitHub.

You can put Shiny Server Pro in a Docker container, but licensing must be handled explicitly. For this configuration, we recommend using a floating license server on hardware or a static VM, on the...

A step-by-step tutorial on creating a web application with Streamlit, building a Docker image with GitHub Actions, and hosting on Heroku.

I used shinyapps.io for my own shiny app. It’s a great service. You can deploy your app for free, test it and show it to other people. But there’s also a downside: The memory an app can use is limited. So I was looking for another way to deploy my app. So I took a look at Docker.

This post provides a guide to use ShinyProxy, an open-source tool with enterprise features, to deploy R Shiny apps.

This post provides a guide to secure ShinyProxy with Nginx, Certbot and AWS Cognito, and monitor usage statistics with InfluxDB, Telegraf and Grafana.

Contribute to trvinh/PhyloProfileDocker development by creating an account on GitHub.

Environment Management with Docker

Docker images for R. Contribute to rstudio/r-docker development by creating an account on GitHub.

an opinionated environment for compiling R. Contribute to rstudio/r-builds development by creating an account on GitHub.

A template for deploying R Shiny apps with ShinyProxy in Docker Swarm mode - presstofan/shinyproxy-docker-swarm-demo

Repository with DockerFiles for tutorials. Contribute to ThinkR-open/docker4dev development by creating an account on GitHub.

Repository with DockerFiles for tutorials. Contribute to ThinkR-open/docker4dev development by creating an account on GitHub.

devindocker

Package your RShiny app into a docker container for local deployment. No rshiny-server or special rshiny.conf configurations necessary!

Docking or containerization is a new method of distribute a software/tool. Beside providing only the source code for installing, we give the users the so-called container, which contains the whole environment to run the program, including the tool and its dependencies with the exact version and all the needed configurations. By delivering such a “container”, users are always able to “reuse” the tool and reproduce the results as we did.

Write an awesome description for your new site here. You can edit this line in _config.yml. It will appear in your document head meta (for Google search results) and in your feed.xml site description.

This post provides a guide to effectively and securely scale your ShinyProxy deployment of shiny apps in production with Docker Swarm and Traefik

rocker/rbase docker image with a selection of packages preinstalled geared to support R-Shiny based webapp. - slink42/rbase_shiny

rocker/rbase docker image with a selection of packages preinstalled geared to support R-Shiny based webapp. - Artificially-Intelligent/shiny

This blogpost explains step by step how you can build your own Docker Image and include R scripts. With this you can have scripts running at every image's beginning.

Learn how to dockerize ShinyApps! Join our colleague Oliver on his journey toward deploying his work done in R with the help of neat Docker containers.

A CRAN task view for computational environments and reproducibility - o2r-project/ctv-computational-environments