# Page 2 | RStudio Desktop Reviews 2026. Verified Reviews, Pros & Cons | Capterra

> Page 2 - Is RStudio Desktop the right Integrated Development Environment (IDE) solution for you? Explore 118 verified user reviews from people in industries like yours to make a confident choice.

Source: https://www.capterra.com/p/210152/RStudio/reviews

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RStudio Desktop

4.7 (118)

[View alternatives](https://www.capterra.com/p/210152/RStudio/alternatives/)

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Last updated March 13th, 2026

# Page 2 - Reviews of RStudio Desktop

## Showing most helpful reviews

Showing 26-50 of 118 Reviews

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Reviewer's Role

Length of Use

Frequency of Use

Craig S.  
Senior Product Operations Specialist  
Information Services  
Used the software for: 2+ years

### "Best IDE I've ever used... Wish I could use it for any language!"

June 4, 2022

5.0

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.

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.

Reason for choosing RStudio Desktop

RStudio really is the primary

Review Source

Mahmood T.  
Statistician  
Research  
Used the software for: 2+ years

### "The best suite for R programmer"

July 28, 2021

5.0

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.

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.

Review Source

VR

Verified Reviewer  
Técnico Docente  
Higher Education  
Used the software for: 1-2 years

### "Un poderosa herramienta de procesamiento y análisis de información y base de datos "

March 5, 2024

5.0

Yo aplico este programa para procesar datos meteorológicos y climatológicos para procesamientos de datos satelitales y obtener como resultados mapas raster de aproximación. En términos generales es un excelente programa de procesamientos y la infinidad de librerías, le hace que no tenga limites sus códigos.

Pros

Al ser un programa open source permite utilizarlo para múltiples propósitos así también la facilidad de aplicación e instalación de librerías necesarias para procesamiento de datos hace que sea distintos a ningún otro programa de procesamiento numérico. Es un facilitador de visualización de gráficos y análisis estadísticos además de la fácil implementación de paginas html.

Cons

Es un programa que tiene poca memoria virtual para el procesamiento de información por grandes segmentos y a pesar que se puede programas las condiciones de entorno para un procesamiento paralelos de los núcleos para disminuir el tiempo, aun así es muy molestos este cambio,

Review Source

VR

Verified Reviewer  
Computer Science Student  
Computer Software  
Used the software for: 1-2 years

### "Best IDE for R"

March 13, 2019

4.0

The user interface is friendly enough and easy to navigate through for beginners and the tools and capabilities are very satisfactory for advanced users. So R-Studio is a great product for a wide range of users.

Pros

I have enjoyed sing R studio in my machine learning project. R-Studio provides great visual representations of data which I found tremendously helpful. If you are doing heavy R coding, R Studio is a must. The variables are defined in the environment and you can see them by simply clicking on them. There are lots of great libraries to experience with once yo get a hang of it. R-Studio can slow down with large data, but the great integration with cloud computing technologies make up for it. I used the Azure Cloud for cloud computing with R-Studio and I liked that the integration was seamless and the process was so easy. I set the cloud in R-Studio under five minutes.

Cons

Some libraries are not optimized for performance. So you might need to try a few libraries before finding an implementation that will run the algorithm smoothly for a large data set. Also, the program might freeze and you might not be able to recover your work. It's always a good idea to save your work.

Review Source

AC

Anil C.  
Marketing Executive  
Marketing and Advertising  
Used the software for: 1-2 years

### "R & Python Developer with RStudio"

June 23, 2022

4.0

I am using RStudio over 2 years and I used Python and R languages to programme. It is handy IDE to write code and understand error.

Pros

RStudio is helpful tool for developers who is developing R and Python languages. It helps you understand your code and find the right solution.

Cons

There are other good option respect to the RStudio to use, but you can use it for your progrraming, it works well.

Switched from

[MATLAB](https://www.capterra.com/p/125813/MATLAB/)

RStudio has more feature for developers.

Review Source

AP

Andrei P.  
Student  
Education Management  
Used the software for: 2+ years

### "It is still really good despite its new competitors."

March 8, 2022

5.0

RStudio is still one of the best softwares for statistics and data science, it is very visual and has a lot of content and packages which were produced along the years. Even thought, with R not being popular right now and RStudio being built mostly for it, it still feels good to be home.

Pros

The RStudio software is easy to get in, making it the perfect choice for data science beginners or statisticians. It has tons of visual support, so you have a better idea of what you are doing and better chance to know when you have messed up. The amount of packages it has makes it viable even when having to use another languages since there are a lot of packages that integrates the other languages to the RStudio interface.

Cons

The fact that it is built primarily on R, which right now is becoming a dead language, makes it unattractive for most customers.

Review Source

Jacob B.  
Customer Support Represenative  
Environmental Services  
Used the software for: 1-2 years

### "Best IDE for R "

November 5, 2021

5.0

Using R Studio has been a breeze. I used it to learn with R and ts built-in tools helped me in that journey

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

Review Source

Sara L.  
Management  
Financial Services  
Used the software for: 1-2 years

### "A simple IDE with great power"

December 27, 2023

5.0

When developing scripts in R, this IDE is the one that should everyone one choose due to its wide range of functionalities.

Pros

Being able to manipulate large datasets and perform complex calculations with ease has greatly improved efficiency in the company. What I find most beneficial is the ability to create reproducible research and reports using R Markdown

Cons

For new developers in R, UI may have some learning curve in comparison to other IDEs.

Review Source

VR

Verified Reviewer  
Postdoctoral Scholar  
Higher Education  
Used the software for: 2+ years

### "The best R suite for statistical analysis "

April 29, 2021

5.0

My overall experience has been great, I used RStudio during my PhD program and continue to use for statistical analysis as well as developing new functions, running data analysis and data visualization.

Pros

RStudio integrates the programming language of R into a suite where the user can download packages, visualize their code and run it as well as debug it. Its a must have for R programmers.

Cons

There are no major dislikes about R studio, being a free software it does depend on the open source community for continuing development, which can be arguably not beneficial to the software.

Switched from

[SAS-STAT Software](https://www.capterra.com/p/121765/SAS-Statistics/)

Free software.

Review Source

VR

Verified Reviewer  
Manager  
Biotechnology  
Used the software for: 2+ years

### "Designed with science and engineering in mind"

December 13, 2019

5.0

The value of this software is that it enables basically anyone to easily access and analyze large datasets. It has become imperative in biomedical science now to accommodate sequencing data, and even with no programming experience, R studio made it easy for me to get started with R. It's a must have for anyone who wants to do anything from moving a column to generating heat maps, and it can also compute statistics for you. All you have to do is know the right commands and how to use them, which I found challenging - it requires you to either have dedicated time to learn, or know someone who is very familiar with the programming environment already.

Pros

I don't have much of a computer background, so I was very hesitant about using R-studio, but it was actually a lot more easy than I expected. It is a powerful tool to do everything from simple one-line calculations and commands to full scripts that you can develop and run to analyze and output large datasets. I've found it to be invaluable in assessing sequencing data, and it makes it easy to manipulate large cohorts of data that excel would freeze if you tried to do it manually.

Cons

It i really hard to teach yourself how to use this software. At first, I was even confused which pane to type in, since there seemed to be two. However, after an initial ten minute introduction by another member of the team wo used R frequently, I was able to easily pick up how to use R studio to develop scripts and commands in R. You really have to get someone to teach you the different commands in order to make full use of R though.

Review Source

DM

Debarpan M.  
Student  
Marketing and Advertising  
Used the software for: 2+ years

### "Excellent Integrated development environment solution"

April 16, 2022

5.0

I have RStudio to handle multiple data sources to ingest huge volumes of data. Next, the data is transformed to meet pre-defined conditions. The data is cleansed and standardised before it is stored in a staging layer. Following this, we analyse patterns and insights available in the data using multiple libraries available in RStudio. We plot graphs to convey insights to shareholders and recommend data-driven actions. This process increases the efficiency of the entire process and adds business value to the organisation.

Pros

Handle large datasets efficiently Automation - a number of time-intensive tasks could be automated Flexibility in code design, a number of plotting libraries available, customised plots, multiple data sources supported Intuitive interface with easy installation and set up of libraries Excellent community support Supports statistical, predictive, and numerical analysis

Cons

Install more libraries at start-up to reduce the time required to install multiple external libraries Improve the ease of debugging code

Review Source

Ryan M.  
Senior Research Analyst  
E-Learning  
Used the software for: 2+ years

### "RStudio is what makes R accessible"

June 21, 2022

5.0

Very positive.

Pros

I love that I can run code line by line. I work a lot with developing functions and stuff and the ability to see how my data are changing throughout the process is amazing

Cons

In my mind, R and RStudio are synonymous. I would never use anything else to write R code. So, the only things I dislike are reasons to not use R. If you are going to use R, you should use RStudio

Review Source

BT

Barış T.  
Data Scientist  
E-Learning  
Used the software for: 6-12 months

### "Statistics with R"

June 9, 2022

5.0

I developed statistical models on the application, took the results as output, visualized my data and presented them.

Pros

The application is very easy to use. The interface is user-friendly and simple. You can write the application with python base. A programming language for statisticians is nice.

Cons

There is nothing wrong with the application. Beginners may find it difficult to load libraries.

Switched from

[QGIS](https://www.capterra.com/p/185949/QGIS/)

I wanted to try the app.

Review Source

MK

Mowshori K.  
Researcher  
Education Management  
Used the software for: 2+ years

### "As a researcher, I use R for our project, because it has a lot of advanced features and tools."

September 18, 2022

5.0

Using libraries like ddR or multiDplyr, R can process huge amounts of data in parallel or through distributed computing for our research project.

Pros

R makes it easy to create beautiful graphs and charts. We can do a wide variety of machine learning tasks with R for our research project. R is an open-source programming language that is free to use. Because of this, anyone can work without getting a license or paying a fee. R is cutting-edge software that gets updated as new features become available.

Cons

Other languages for programming, like MATLAB and Python, are much slower than R. R has some limits, such as not being able to be used in a web application. R is not secure enough.

Alternatives considered

[PythonAnywhere](https://www.capterra.com/p/234268/PythonAnywhere/)

Review Source

Dustin M.  
Graduate Student  
Higher Education  
Used the software for: 2+ years

### "Best tool to use when working in R"

May 21, 2019

4.0

Overall, this software is great and makes my day to day life much easier. There aren't many issues to complain about.

Pros

I like pretty much everything about this software. It makes my code writing tasks so much easier and more enjoyable. I really like the integration with Bash and Python. It's nice being able to write code in various languages in the same document. I like being able to see my code, console, global environment, and other windows all at the same time which is done with finesse in this software. Having a easy-access, searchable "help" window is a huge time saver.

Cons

There are some bugs I come across every now and again. For example, I had code that would not work like expected. The function I was using was giving a weird output. After troubleshooting for an hour, I closed out of R-Studio, went back in and the function was working as it should. I've encountered other similar issues as well where a simple, "close" and "reopen" fixes problems.

Review Source

VR

Verified Reviewer  
Freelance Consultant  
Research  
Used the software for: 2+ years

### "Excellent Data Analysis Tool"

June 4, 2019

5.0

Working as a freelance epidemiologist and research consultant it is essential that I have access to a program within which I can analyze large amounts of data and share the results easily. R-Studio lets me do this. One the interface of R-Studio is understood it is easy to navigate and allows for numerous analytical procedures to be performed.

Pros

R-Studio is free to use and allows users to analyze large datasets easily and quickly. Code for R is available from a variety of sources which enables complicated analysis to be undertaken more easily than writing the code oneself.

Cons

I really feel there are no cons to using R and R-Studio.

Review Source

Christopher P.  
Chief Data Scientist  
Management Consulting  
Used the software for: 2+ years

### "RStudio : The Reigning Champ for Data Science in R"

June 29, 2021

5.0

I've been using RStudio for almost a decade now, and it keeps getting better every year. There are new features, new conveniences, and it's simply the best environment for writing and executing R code.

Pros

RStudio is feature rich, relatively easy to get around, and incredibly extensible. Combined with R packages of your choice, you can do literally anything in the environment. Code completion, colored highlighting, and easy project management make it a delight.

Cons

Nothing comes to mind; it's free and open source, so you get what you pay for.

Review Source

VR

Verified Reviewer  
Business Analyst  
Insurance  
Used the software for: 2+ years

### "My experience using R Studio"

December 18, 2019

5.0

I use R-Studio regularly at the office for data and statistical analysis and also data visualization.

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.

Review Source

UU

Ugnė U.  
Analytics Team Lead  
Media Production  
Used the software for: 2+ years

### "Don't use R without this"

October 24, 2021

5.0

Pros

I love this software, I may be biased as it was what I started with, but it has some features that I miss in other coding interfaces. To name a few: the ability to find and replace strings in your code (even with regex), the ability to comfortably view stored variables, all the neat keyboard shortcuts. You can even run Python from it!

Cons

As I said, I love it, so it is hard to find criticism for it. Perhaps it could have R Markdown integrated right away - I am fairly certain that is not the case by default.

Review Source

TO

Thomas O.  
Graduate Student  
Biotechnology  
Used the software for: 2+ years

### "RStudio is the best"

June 21, 2022

5.0

Research and working with collaborators across labs and at other institutions are made easy.

Pros

RStudio is simple and easy to use. Love the integration with Git & Git Hub. Being able to create Rmarkdown documents and html webpages with data and code is made simple and easy. Creating interactive documents with Shiny applications are also made very easy with RStudio.

Cons

I don't think there is anything specific that I would change about this software other than I think more people should use it and be taught it in school.

Review Source

Adriel O.  
Chief Statistician  
Research  
Used the software for: 2+ years

### "Top of the Line Statistical Analysis"

August 14, 2021

5.0

Pros

For the low price of free, one can get top of the line statistical analysis. Of course, the learning curve is much higher than commercial statistical software. R requires some knowledge in programming concepts like data structures. One may also very well learn algorithms used in Computer Science and Numerical Analysis to make full use of R. However, this preparation pays much in using the software.

Cons

R-Studio could improve its functionality by adding convenient menus and buttons for basic statistics like Stata does.

Reason for choosing RStudio Desktop

I still use those products for more advanced purposes. However, R does the job just fine when it comes to convenience and performance for free.

Review Source

Dami A.  
Data Scientist  
Capital Markets  
Used the software for: 2+ years

### "Excellent Statistical Software"

September 15, 2019

5.0

My overall experience with R-Studio has been positive. I really have the invention of R-Studio Cloud.

Pros

The software performs statistical analysis at a robust level and the invent of R Studio Cloud has made generating reports quick and easy.

Cons

What I like the least about this software is the way packages are typically installed and how long it takes to install a package.

Review Source

Ashirwad B.  
Teaching Assistant  
Higher Education  
Used the software for: 2+ years

### "RStudio is the best IDE for data science"

August 20, 2021

5.0

Pros

RStudio enriches the overall experience of working with R. The recent addition of support for Python is the icing on the cake!

Cons

Lack of support for easy-to-use equation editor for RMarkdown documents.

Review Source

Ricardo C.  
Project Engineer  
Civil Engineering  
Used the software for: 2+ years

### "Acrobat Reader DC"

May 14, 2019

4.0

Acrobat reader improves my productivity because I can open files that I need on my cellphone and it doesn´t compromises the velocity of my mobile. Acrobat reader is my favorite software to open PDF files however, when I have to edit them, I go for nitroPDF

Pros

The quickness it has to load compared with other PDF readers

Cons

I believe Nitro PDF is more versatile to edit PDF files

Review Source

Pietro B.  
CEO  
Biotechnology  
Used the software for: 2+ years

### "Once learned it, never whitout ! "

May 25, 2021

5.0

Amazing matematical programming language. I use it often in my job to perform data analysis.

Pros

R is an amazing programming language designed to perform statistical analysis and calculations. It is the swiss army tool of a data-scientist. Thanks to its huge community any doubt you may have can be replied easily by a simple search on internet, or by asking in forums. It's easy to use and thanks to R studio its IDE environment is even easier to check what data is loaded / plot graphs / consult the documentation. Very reccomended.

Cons

The software is free and this is amazing since it offers so much. As every programming language it may a bit difficult at the start to learn.

Review Source

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