--- description: Review of RStudio Desktop Software: system overview, features, price and cost information. Get free demos and compare to similar programs. image: https://gdm-localsites-assets-gfprod.imgix.net/images/software_advice/og_logo-55146305bbe7b450bea05c18e9be9c9a.png title: RStudio Desktop | Reviews, Pricing & Demos - SoftwareAdvice GB --- Breadcrumb: [Home](/) > [Source Code Management Software](/directory/4322/source-code-management/software) > [RStudio Desktop](/software/208897/rstudio) # RStudio Desktop Canonical: https://www.softwareadvice.co.uk/software/208897/rstudio Page: 1 / 6\ Next: [Next page](https://www.softwareadvice.co.uk/software/208897/rstudio?page=2) > RStudio is an integrated development environment for R and Python. This software is ideal for data scientists, DevOps engineers, and IT admins. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging, and workspace management. > > Verdict: Rated **4.7/5** by 118 users. Top-rated for **Likelihood to recommend**. ----- ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.7/5** | 118 Reviews | | Ease of Use | 4.3/5 | Based on overall reviews | | Customer Support | 4.3/5 | Based on overall reviews | | Value for Money | 4.7/5 | Based on overall reviews | | Features | 4.6/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Posit - **Location**: Boston, US ## Commercial Context - **Starting Price**: US$4,975.00 - **Pricing model**: Flat Rate (Free version available) (Free Trial) - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Mac (Desktop), Windows (Desktop) - **Supported Languages**: English - **Available Countries**: United States ## Features - Code Development - Code Editing - Code Review - Continuous Integration - Data Modeling - Debugging - For Developers - Graphical User Interface - Version Control - Web/Mobile App Development - Website Development ## Category - [Source Code Management Software](https://www.softwareadvice.co.uk/directory/4322/source-code-management/software) ## Related Categories - [Source Code Management Software](https://www.softwareadvice.co.uk/directory/4322/source-code-management/software) - [Integrated Development Environment (IDE) Software](https://www.softwareadvice.co.uk/directory/4413/ide/software) ## Alternatives 1. [Microsoft Visual Studio](https://www.softwareadvice.co.uk/software/410128/microsoft-visual-studio) — 4.6/5 (3004 reviews) 2. [IntelliJ IDEA](https://www.softwareadvice.co.uk/software/207805/intellij-idea) — 4.7/5 (1256 reviews) 3. [PyCharm](https://www.softwareadvice.co.uk/software/207982/pycharm) — 4.7/5 (368 reviews) 4. [Eclipse IDE](https://www.softwareadvice.co.uk/software/207988/eclipse-ide) — 4.3/5 (202 reviews) 5. [Apache NetBeans](https://www.softwareadvice.co.uk/software/207943/apache-netbeans) — 4.3/5 (231 reviews) ## Reviews ### "The best suite for R programmer" — 5.0/5 > **Mahmood** | *28 July 2021* | Research | Recommendation rating: 10.0/10 > > **Pros**: As a statistician, I have been an active user of the R statistical programming language since 2007, and I had insisted to use the legacy R GUI all these years until about two years ago. Then I started to use RStudio and It was really a big step that makes me more productive. RStudio is an advanced Integrated Development Environment (IDE) for the R language. It has a very nice user interface with advanced code highlighting, viewing data environment, help, and graphs in the same window. Moreover, It is integrated with GIT for easy version controlling inside of the Rstudio. Furthermore, It facilitates creating R shiny apps and developing R packages. Last but not least, it let to easily develop an R notebook to integrate code, graph, table, and documentation with the ability to export it to HTML, PDF, and Word formats. So it is a complete R environment for both Statisticians and Data scientists. > > **Cons**: Rstudio does not provide menu-driven support for data analysis. In fact, a user can make it him/herself by using Shiny apps but the nature of the Rstudio is code-driven and the software graphical user interface is intended to help programmers and data scientists and not ordinary pople that like a menu-driven data analysis framework. > > In my opinion, Rstudio provides the best environment to be used by statisticians and data scientists. The software is great and its supporting website provides a lot of tutorials. ----- ### "Great way to start coding." — 5.0/5 > **Alejandro** | *22 March 2022* | Higher Education | Recommendation rating: 10.0/10 > > **Pros**: It is great that it has a interfase that helps you to be familiar with the terminal, variables and libraries. > > **Cons**: It can be helpful a tutorial for each feature, helping to understand all the things that you can do. > > Is great\! You start to reduce your fear and anxiety using this software, it is very intuitive and user friendly. ----- ### "My experience using R Studio" — 5.0/5 > **Verified Reviewer** | *18 December 2019* | Insurance | Recommendation rating: 10.0/10 > > **Pros**: The layout and ease of use is superb, there are functions for just about any statistical operation you need to carry out in R Studio. The autocomplete feature on the R-Studio IDE is remarkable, it completes the function for you and also gives you tips on what arguments should be keyed into the functions. > > **Cons**: I have not discovered any feature I don't like yet in R, for now, its just remarkable for statistical analysis and visualization. > > I use R-Studio regularly at the office for data and statistical analysis and also data visualization. ----- ### "Best IDE I've ever used... Wish I could use it for any language\!" — 5.0/5 > **Craig** | *4 June 2022* | Information Services | Recommendation rating: 10.0/10 > > **Pros**: RStudio is probably the most sensible and approachable IDE in existence. Super beginner friendly, and it's used by basically anyone who uses R so help, tips, resources, and examples are much easier to find than other tools/languages. The ability to easily explore data frames, file structures, and visualizations is unparalleled across competitors, and basically sets the standard for how an environment should look and feel. > > **Cons**: I'd love to see native python support. It's not really a negative since it's not what the tool is designed for, but the python integration via R is a little clunky for those who kind of know both languages, but don't have time to learn the intricacies of how to run python via r packages. If the creators of RStudio came out with a PyStudio I'd drop all other IDEs in a heartbeat. Package/library management can be a little clunky, but it's something you get used to. > > R was my first love when it comes to coding/data analysis. The ability to easily access the terminal, console, and script all at once is great, but the tool really shines in the ability to easily work with data and graphs. No other IDE does such a great job at making it easy to explore files, data frames, and graphs. ----- ### "Best IDE for R" — 5.0/5 > **Jacob** | *5 November 2021* | Environmental Services | Recommendation rating: 10.0/10 > > **Pros**: Ease of use, debugging, and GUI are the best in the buisiness when it comes to R IDEs > > **Cons**: I wish that I could have better information on ram and CPU usage > > Using R Studio has been a breeze. I used it to learn with R and ts built-in tools helped me in that journey ----- Page: 1 / 6\ Next: [Next page](https://www.softwareadvice.co.uk/software/208897/rstudio?page=2) ## Links - [View on SoftwareAdvice](https://www.softwareadvice.co.uk/software/208897/rstudio) ## This page is available in the following languages | Locale | URL | | en | | | en-AU | | | en-GB | | | en-IE | | | en-NZ | | | fr | | ----- ## Structured Data