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You can run RStudio on the cloud in two ways: sign in to Posit Cloud, a hosted service where Posit runs the server for you, or install the open source edition of RStudio Server on a Linux server you administer. Either way you get the RStudio IDE in a browser tab instead of installing R on your own computer. This guide explains which route fits a research analysis, walks through the Posit Cloud steps from Posit’s documentation, and lists the resource limits that decide whether a given analysis will fit. If you are looking for the same query phrased as RStudio in the cloud, the answer is the same two routes.
Which cloud route: Posit Cloud or RStudio Server
| Route | Who runs it | What Posit says |
|---|---|---|
| Posit Cloud | Posit (hosted) | "Start coding in R or Python in seconds, no setup required." A browser-based environment for RStudio and Jupyter. |
| RStudio Server, Open Source Edition | You, on a Linux server | "RStudio Server enables you to provide a browser-based interface to a version of R running on a remote Linux server." Licensed under AGPL v3. |
The practical difference for a research team is where the data sits. With Posit Cloud, project files live on Posit’s service. With RStudio Server, they live on a machine your institution controls, and your IT group is responsible for installing and maintaining it. Sources for both rows are listed at the end of this page.
What it is used for in research
A browser-based RStudio is used when the analysis has to start without local setup: a class or workshop where everyone needs the same environment, a collaborator who cannot install software on a managed laptop, or a short analysis you want to share as a project. Posit’s documentation describes a project as the unit of work that "encapsulates your code, packages and data files" and provides isolation from other analyses. Posit Cloud runs each project in its own container with its own allocation of RAM and CPUs. For background on what R itself is used for, see what R programming is used for, and for the desktop interface see how to use RStudio.
Install or access (official source only)
Posit Cloud
There is nothing to install. Posit Cloud is reached at posit.cloud, and Posit’s get-started documentation states: "You must be logged in to create and view content on Posit Cloud." Posit’s product page says the free tier is "a fully functional environment, available to anyone, with no expiration date." Compute for a project can scale from 1 GB to 32 GB of RAM and from 1 to 8 CPUs, and you can choose an R version for the project.
RStudio Server (self-hosted)
RStudio Server is installed on a Linux server by whoever administers it. Posit’s open source product page is the starting point for the Open Source Edition; because you operate the server, access, storage and backup are your institution’s responsibility, not Posit’s.
Step by step: start an RStudio project in Posit Cloud
- Sign in to Posit Cloud. Content cannot be created or viewed without logging in.
- Click the New Project button.
- Choose New RStudio Project from the menu that appears.
- Wait for the project to open. Posit’s documentation says that in roughly 30 seconds the RStudio IDE appears and you can create files and write code.
- To name the project, click Untitled Project in the header and rename it.
Posit’s projects documentation adds that a Cloud RStudio project is the same thing as a project in desktop RStudio or Posit Workbench, plus some additional metadata for access and sharing. If you want a project to start with a set of packages and files already loaded, Posit Cloud also lets you create a project from a template.
Output and how to read it
What you see is the standard RStudio IDE running in the browser, so the way you read output (console, plots, files) is the same as on the desktop; the RStudio interface guide covers the panes. In Posit Cloud the difference is in what the project holds: the code, packages and data files belong to the project, not to your computer. Treat the project as the record of the analysis, and download anything you must keep outside the service before closing out a study.
Resource limits that decide whether an analysis fits
These are the defaults and caps stated in Posit’s projects documentation (checked 2026-10-29). Check that page before relying on a number for a long job.
| Limit (Posit Cloud project) | Stated value | What it means for a research analysis |
|---|---|---|
| Default compute | 1 GB of RAM and 1 CPU | A large in-memory dataset may not load until the project’s resources are raised; the product page states compute can scale to 32 GB RAM and 8 CPUs. |
| Background execution limit | 1 hour by default | A job left running after you close the browser is bounded by this limit. |
| Maximum runtime | 24 consecutive hours beyond the configured background execution limit | A multi-day simulation cannot run as a single uninterrupted job. |
| Disk | Up to 20 GB per project for files, data and packages | Large raw data files compete with installed packages for the same space. |
| Upload size | 500 MB per individual file | Split or pre-process larger files before uploading. |
| Idle | Session goes idle 15 minutes after the last interaction if no code is executing | Idle time is not charged, but a session that has gone idle is no longer a place to leave an interactive task waiting. |
Troubleshooting
- The project went idle. Posit’s documentation says a session goes idle 15 minutes after the last interaction when it is not actively executing code. Reopen the project and continue.
- A long job stopped. Compare the job’s duration with the 1 hour background execution limit and the 24 hour maximum runtime in the table above; split the work into stages that save intermediate results to project files.
- A data file will not upload. The maximum size of an individual uploaded file is 500 MB.
- Out of space. A project is allocated up to 20 GB for files, data and packages together.
Before you upload research data
A hosted project means your files are stored on a third-party service. Before uploading anything that is not already public, work through this checklist with your institution’s data owner:
- Does the dataset contain identifiable participant information, and what does the informed consent document say about where data may be stored?
- Does a data use agreement restrict where the data can be processed or who can access it?
- Does your data management plan name the storage location? If it names an institutional server, a self-hosted RStudio Server may be the route that matches it.
- Can the analysis be rerun from the saved code and data? Reproducibility depends on it; see computational reproducibility.
Free alternatives
| Option | Where it runs | Source statement |
|---|---|---|
| Posit Cloud free tier | Hosted by Posit | Posit: "a fully functional environment, available to anyone, with no expiration date." |
| RStudio Server, Open Source Edition | A Linux server you run | Posit: licence AGPL v3; browser-based interface to R on a remote Linux server. |
For other no-cost statistics software, see the free statistical software guide.
FAQ
Can I run RStudio in a browser?
Yes. Posit Cloud provides RStudio in the browser as a hosted service, and RStudio Server provides a browser-based interface to R running on a remote Linux server you operate.
Does the free tier of Posit Cloud expire?
Posit’s product page describes the free tier as available to anyone with no expiration date. It does not remove the per-project limits listed above.
Can I use Python as well as R?
Posit describes Posit Cloud as a browser-based environment for RStudio and Jupyter, so a project can be an RStudio project or a Jupyter project.
Where do my files live?
In Posit Cloud, in the project on Posit’s service. On a self-hosted RStudio Server, on the server your institution administers.
