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What is ShinyStudio?

The ShinyStudio project is an orchestration of Docker services that allows for easy, free, and secure development and hosting of rich, interactive content with RStudio and Shiny Server, secured with ShinyProxy.

The ShinyStudio ecosystem primarily consists of the products described below. If you are unfamiliar with some or all of them, keep calm and read on.

  • RStudio Server: RStudio Server is a hosted instance of the RStudio, the development environment for authoring applications and documents in R. When you think RStudio, think R development.
  • Shiny Server: Shiny is a web framework and Shiny Server is the web server component to serve and display created content. When you think Shiny, think interactive presentation of content.
  • ShinyProxy: ShinyProxy is an open-source tool used to provide a secure entrypoint into the ShinyStudio ecosystem and is the driver behind on-demand invocation of Docker containers containing instances of RStudio or Shiny Server. When you think ShinyProxy, think security and Docker container management.
  • Docker: Docker allows creating and deploying “containerized” instances of a service. In the ShinyStudio ecosystem, RStudio Server, Shiny Server, and ShinyProxy are all services delivered in a container. When you think Docker, think configurable, scalable, containerized services.

ShinyStudio is not a product; it is a project / ecosystem wholly composed of the above products. ShinyStudio is not affiliated or supported by RStudio or OpenAnalytics. Anyone benefitting from this project should direct their appreciation to the developers of these products, RStudio, OpenAnalytics, and Docker.


If you have heard of the R language, you may rightfully associate it with advanced statistical computing, machine learning and the like. In recent years, however, the folks at RStudio have done amazing things with R, both with RStudio and the R Shiny web framework. With their products, R becomes an invaluable tool for creating rich, modern applications and documents.

The problem is, when it comes to sharing the content, free options are limiting and other options are… not free. ShinyStudio leverages ShinyProxy to bring some essential features to the free versions of RStudio and R Shiny, such as authentication and multiple sessions.

If you need enterprise-level abilities and support from RStudio, consider premium solutions such as RStudio Server Pro, Shiny Server Pro, and RStudio Connect.

If your Shiny app / RMarkdown document is for public consumption and has no need for authentication, explore these free-mium options for hosting your content: (1) for hosting Shiny apps or (2) for hosting static RMarkdown docs.

If you’re struggling to decide between “totally free” and “totally secure”, the ShinyStudio project can help bridge the gap.

How to get it

Every component of the ShinyStudio project is delivered with Docker. To get started, you do not need to know Docker, but you need to install Docker and Docker Compose. See Docker install instructions for Debian Linux, CentOS, Mac. I have not designed or tested this process on Docker for Windows, but that is in the future plans.

Once you get to a point where you can execute docker info with no errors, you can proceed with the rest of this guide.

After installing Docker and Docker Compose, setup your ShinyStudio site with:

# clone this repository
git clone

# setup site(s) with default configuration

This operation can take a few minutes, as it is downloading all the requisite components (RStudio Server, Shiny Server, ShinyProxy) along with the default set of R packages.

Once complete, you can confirm that the necessary services are running by executing docker ps. You should see both shinystudio_shinyproxy and shinystudio_influxdb in the resulting output.

Once complete, open a web browser and navigate to http://localhost:8080. When prompted, sign in with the username admin and the password admin.

You are now in the ShinyStudio ecosystem, ready to consume content with Shiny Server or produce content with RStudio Server.

Basic Use

At this point, you should have a running and accessible instance of ShinyProxy, the gateway into the ShinyStudio ecosystem. When you sign in with the admin account, you will see four tiles:

  1. Apps & Reports: open an instance of Shiny Server to view applications hosted on this site.
  2. Documents: open an instance of Shiny Server to view documents hosted on this site.
  3. All Content: (admin only) opens an instance of Shiny Server directed to the root directory of this site.
  4. RStudio: (admin only) opens an instance of RStudio Server for creating site content.

Open RStudio to begin creating your own content. In the file explorer pane of RStudio (bottom-right), you will see a folder named “__ShinyStudio__“; that folder contains all the content for the site. Everything outside of the”__ShinyStudio” directory will be purged after exiting RStudio. That is because each instance of RStudio is spun up in its own Docker container that is destroyed after each use (more on this later). Only files created/modified within the “__ShinyStudio” folder will persist between sessions.

Everything outside of the “__ShinyStudio__” directory will be purged after exiting RStudio. Only files created/modified within the “__ShinyStudio__” folder will persist between sessions.

Create some content

There is great documentation for getting started with Shiny and RMarkdown. For now, just create a new RMarkdown document by clicking File > New File > R Markdown, or by opening one of the templates in the templates folder. Edit the file, then File > Save As..., and save it to __ShinyStudio__/_docs/My Document/document.Rmd.

To properly serve the content, it is important that you place your document(s) in a folder. The folder name is what is displayed as the content title in Shiny Server.

Now, with the file saved under __ShinyStudio__/_docs/{TITLE}/{FILE}.Rmd, browse to the ShinyStudio home screen, select the “Documents” pane, and you will see your rendered document.

All content within the “__ShinyStudio__” folder is viewable from the “Site Content” pane. Only content in the “_apps” and “_docs” folder is viewable by a standard users.

So, admins can place content within “__ShinyStudio__“, but outside of”_apps” or “_docs” in order to develop and test their work before giving access to a standard user.

Note that the differentiation between “apps” and “docs” is purely for organization; there’s no harm in, say, putting a document in the “_apps” folder or vice versa.

It’s as simple as that, and the process for creating Shiny apps is almost exactly the same.

Pro tip: when editing content

Backup / Export Content

To persist content as Docker containers are created and destroyed, all site content is stored on the host server at /srv/shiny-server/{PORT}. Thus, you can use whatever method you want to backup and restore content in this folder.

In addition, site admins can use RStudio to download a zip of all the content in the “__ShinyStudio__” directory. Also, it’s a good idea to initialize a git repo in this here; RStudio has a useful git interface for managing versions of apps and documents.

You may notice the hidden directory /srv/shiny-server/.rstudio. This contains user preferences within RStudio. While session states are not saved between instances of RStudio, user preferences (e.g., theme, font) are persistent. You may want to include this in your backups.

Basic Configuration

When ShinyProxy is running, your site’s content is accessible by others over port 8080 (by default). It is a good idea to apply a custom security configuration before going any further.

ShinyProxy offers a variety of authentication mechanisms, detailed here. To alter your sites security, modify the configuration file for that site.

To do nothing other than change the default passwords, locate the config file for the site hosted on port 8080; you can find it here:


In this folder, you will see example configurations that have been disabled. These provide examples of using ShinyProxy with basic auth (default), social auth, Active Directory auth, and no auth. These also show how you can easily switch from a 2-column layout to a 1-column layout in ShinyProxy.

Open 8080.yml in your editor of choice. Then, locate and edit the following lines as desired:

authentication: simple
  - name: superadmin
    password: *change*me*
    groups: superadmins
  - name: admin
    password: *change*me*
    groups: admins
  - name: user
    password: *change*me*
    groups: readers

Once you’ve made the desired edits, setup the site again with:


Default Roles

By default, ShinyStudio defines three levels of access:

  • readers: can only view content from “Apps & Reports” or “Documents”.
  • admins: can view all site content and develop content with RStudio.
  • superadmins: can view and develop site content across multiple sites.

Multiple Sites

Spawning multiple instances of ShinyProxy is an uncomplicated process. This can be useful to segment content or provide unique customizations, as each site own configuration, port, and content.

To create a new site, copy an existing site configuration, make the desired edits, and name the new file with the desired port number.

The default setup spawns one instance of ShinyProxy at the default port 8080.


Add Sites

The setup below will spawn three unique, independent instances of ShinyProxy, hosted on ports 8080, 8081, and 8082.


Note: ShinyProxy logs usage to InfluxDB, which is typically served on port 8086. To avoid conflicts with multiple ShinyProxy sites, InfluxDB is served on port 8886 in the ShinyStudio ecosystem.

Disable Sites

To disable a site, just the extension of its config file. In the setup below, only sites 8080 and 8082 will be hosted.


Shared Content

It is possible to have two sites with independent configurations have access to the same content. To do this, name the file PORT_SITE.yml, where PORT is the port to broadcast on, and SITE is the port number of the site that already has content.

In the setup below, three unique instances of ShinyProxy will be invoked, hosted on ports 8080, 8081, and 8082. However, each site contains the same content (from 8080), and any changes to content in one site will be reflected in another.


Updating ShinyStudio

After editing site configurations, you will have to rebuild your ShinyStudio ecosystem with the command below. The same command will also pull the latest version of RStudio Server and Shiny Server.


Setup Conclusion

At this point, you should have one or more ShinyStudio sites, accessible and secured with ShinyProxy. It is my goal that this ecosystem is valuable to both technical and non-technical audiences, to both R statisticians and college notetakers.

The information below is not essential to the use of the ShinyStudio ecosystem, so feel free to stop here and get to creating!



I had the goal of having a secured Shiny Server that would be usable by people with no experience with RStudio, Docker, Git. A quick search led me to, which is what drives this solution.

Aside from the thorough documentation on their site, I landed on this article from Paul Stevenson of the Telethon Kids Institute in which he describes his ShinyProxy / Shiny Server Docker stack. His stack is tidy, well-explained, and includes an NGINX proxy and automatic SSL configuration that are essentially required if you want ShinyProxy to be internet-facing.

There were two major problems I had with documented approaches which invoke the Shiny R package via standalone instances of R:

  • Tedius effort involved in “containerizing” each app/doc to be hosted.
  • Downloading and compiling libraries for each app/doc can take several minutes.
  • ShinyProxy requires an edit to the application.yml file, followed by a restart, for each new app/doc.

These two limitations result in content creation being both a tedious and service-interrupting event. I wanted a reliable system that had a low learning curve and facilitated rapid development of content.

On the search for alternative approaches, I found this article from which featured some useful and though-provoking diagrams on the matter.

It was while reviewing those diagrams that I came to the conclusion that it would be better to “containerize” Shiny Server for invocation with ShinyProxy, as opposed to individual instances of standlone R. That simple trick is the magic to the ShinyStudio approach.

ShinyProxy: documented approach

ShinyProxy: the ShinyStudio approach


There are trade-offs between the two ShinyProxy workflows, discussed below.

R Standalone Shiny Server
R environment Independent Shared
Authentication Low-level High-level
Access logs Low-level High-level
Docker images Many One
Docker containers Many Fewer
Content delivery Manual w/ Restart Automatic; No restart

R environment

By packaging each app into a Docker image, each apps is independent of others and has a unique set of R libraries at its disposal.

In the ShinyStudio ecosystem, all apps share the same image which contains both RStudio and Shiny Server and all the R libraries. This facilitates rapid development, but can be an issue if you have two apps with conflicting dependency requirements.


ShinyProxy allows group-based authentication to each Docker image. When each Docker image is an individual app, you have granular security controls for each app.

In the ShinyStudio ecosystem, you can control who can see “Apps & Reports”, who can see “Documents”, and who can author content with RStudio, but you cannot control which apps or documents they have access to.

Access logs

ShinyProxy logs the logins and Docker image launches. When each Docker image is an individual app, you have granular access logs.

In the ShinyStudio ecosystem, logs are generated when a user opens a particular pane, but which apps/docs they access from there are not logged.

Images / Containers

Naturally, when each app has its own Docker image, you’ll have a lot of images. Likewise, if each app invocation spawns a new container, one user could feverishly spawn many containers.

In the ShinyStudio ecosystem, there is only one image for RStudio and Shiny, and content is stored externally. Containers are spun up when a new instance of Shiny / RStudio Server is needed, e.g. when a user accesses “Apps & Reports”. Accessing multiple apps within this container will not spawn new containers; the apps will share the resources of the executing Shiny Server container.

Content delivery

As stated earlier, changes to the list of Docker images available to ShinyProxy requires a restart of ShinyProxy itself, which is not ideal for rapid development.

In the ShinyStudio ecosystem, spawned instances of Shiny Server have immediate access to the latest apps and docs in the site’s directory.

Future Plans

Pull requests are welcome and appreciated!

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