RStudio vs Visual Studio Code

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RStudio

307
332
+ 1
9
Visual Studio Code

104.1K
89K
+ 1
2.1K
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RStudio vs Visual Studio Code: What are the differences?

What is RStudio? Open source and enterprise-ready professional software for the R community. An integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution Publish and distribute data products across your organization. One button deployment of Shiny applications, R Markdown reports, Jupyter Notebooks, and more. Collections of R functions, data, and compiled code in a well-defined format. You can expand the types of analyses you do by adding packages..

What is Visual Studio Code? Build and debug modern web and cloud applications, by Microsoft. Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows.

RStudio and Visual Studio Code are primarily classified as "Integrated Development Environment" and "Text Editor" tools respectively.

Visual Studio Code is an open source tool with 79.4K GitHub stars and 11.1K GitHub forks. Here's a link to Visual Studio Code's open source repository on GitHub.

Asana, Microsoft, and Intuit are some of the popular companies that use Visual Studio Code, whereas RStudio is used by Apptopia, Polydice, and Relax Commerce. Visual Studio Code has a broader approval, being mentioned in 1135 company stacks & 2385 developers stacks; compared to RStudio, which is listed in 5 company stacks and 5 developer stacks.

Decisions about RStudio and Visual Studio Code
Kamaleshwar BN
Head of Engineering at Dibiz Pte. Ltd. · | 12 upvotes · 713.8K views

Visual Studio Code became famous over the past 3+ years I believe. The clean UI, easy to use UX and the plethora of integrations made it a very easy decision for us. Our gripe with Sublime was probably only the UX side. VSCode has not failed us till now, and still is able to support our development env without any significant effort.

Goland being paid, as well as built only for Go seemed like a significant limitation to not consider it.

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Simon Ibssa
Student at California Polytechnic State University, San Luis Obispo · | 2 upvotes · 642.7K views

I decided to choose VSCode over Sublime text for my Systems Programming class in C. What I love about VSCode is its awesome ability to add extensions. Intellisense is a beautiful debugger, and Remote SSH allows me to login and make real-time changes in VSCode to files on my university server. This is an awesome alternative to going back and forth on pushing/pulling code and logging into servers in the terminal. Great choice for anyone interested in C programming!

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Pros of RStudio
Pros of Visual Studio Code
  • 2
    Visual editor for R Markdown documents
  • 2
    In-line code execution using blocks
  • 1
    Sophitiscated statistical packages
  • 1
    Supports Rcpp, python and SQL
  • 1
    Can be themed
  • 1
    In-line graphing support
  • 1
    Latex support
  • 325
    Powerful multilanguage IDE
  • 291
    Fast
  • 183
    Front-end develop out of the box
  • 151
    Support TypeScript IntelliSense
  • 135
    Very basic but free
  • 115
    Git integration
  • 99
    Intellisense
  • 72
    Faster than Atom
  • 46
    Better ui, easy plugins, and nice git integration
  • 41
    Great Refactoring Tools
  • 38
    Good Plugins
  • 36
    Terminal
  • 36
    Superb markdown support
  • 33
    Open Source
  • 27
    Extensions
  • 25
    Large & up-to-date extension community
  • 25
    Awesome UI
  • 22
    Powerful and fast
  • 20
    Portable
  • 16
    Best code editor
  • 16
    Best editor
  • 15
    Easy to get started with
  • 14
    Built on Electron
  • 14
    Crossplatform
  • 14
    Good for begginers
  • 14
    Open, cross-platform, fast, monthly updates
  • 13
    Lots of extensions
  • 12
    All Languages Support
  • 12
    Extensions for everything
  • 11
    Ui design is great
  • 11
    Easy to use and learn
  • 11
    Faster edit for slow computer
  • 11
    Totally customizable
  • 11
    Useful for begginer
  • 11
    Extensible
  • 10
    Git out of the box
  • 10
    "fast, stable & easy to use"
  • 9
    It has terminal and there are lots of shortcuts in it
  • 9
    Great language support
  • 9
    Great community
  • 8
    Works With Almost EveryThing You Need
  • 8
    SSH support
  • 8
    Powerful Debugger
  • 8
    Fast Startup
  • 7
    Can compile and run .py files
  • 7
    Python extension is fast
  • 7
    Features rich
  • 7
    Great document formater
  • 6
    Awesome multi cursor support
  • 6
    He is not Michael
  • 6
    She is not Rachel
  • 5
    VSCode.pro Course makes it easy to learn
  • 5
    Extension Echosystem
  • 5
    Easy azure
  • 5
    Language server client
  • 5
    SFTP Workspace
  • 4
    Very proffesional
  • 4
    Has better support and more extentions for debugging
  • 3
    Excellent as git difftool and mergetool
  • 3
    Emmet preinstalled
  • 3
    Supports lots of operating systems
  • 3
    Has more than enough languages for any developer
  • 3
    Virtualenv integration
  • 3
    'batteries included'
  • 2
    More tools to integrate with vs
  • 2
    Light
  • 2
    VS Code Server: Browser version of VS Code
  • 2
    Fast and ruby is built right in
  • 2
    Better autocompletes than Atom
  • 2
    CMake support with autocomplete
  • 1
    Big extension marketplace

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Cons of RStudio
Cons of Visual Studio Code
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    • 39
      Slow startup
    • 23
      Resource hog at times
    • 19
      Poor refactoring
    • 13
      Poor UI Designer
    • 11
      Weak Ui design tools
    • 9
      Poor autocomplete
    • 8
      Microsoft
    • 7
      Poor in PHP
    • 5
      Poor at Python
    • 4
      Super Slow
    • 4
      Poor intellisense. poor java
    • 3
      No built in live Preview
    • 3
      Microsoft sends telemetry data
    • 3
      No Built in Browser Preview
    • 3
      Dilshad
    • 3
      No color Intergrator
    • 3
      Poor in Python
    • 3
      Very basic for java development and buggy at times
    • 3
      Huge cpu usage with few installed extension
    • 2
      Bad Plugin Architecture
    • 1
      Terminal does not identify path vars sometimes
    • 1
      Electron

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    What is RStudio?

    An integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution. Publish and distribute data products across your organization. One button deployment of Shiny applications, R Markdown reports, Jupyter Notebooks, and more. Collections of R functions, data, and compiled code in a well-defined format. You can expand the types of analyses you do by adding packages.

    What is Visual Studio Code?

    Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows.

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    What companies use RStudio?
    What companies use Visual Studio Code?
    See which teams inside your own company are using RStudio or Visual Studio Code.
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    What tools integrate with RStudio?
    What tools integrate with Visual Studio Code?

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    What are some alternatives to RStudio and Visual Studio Code?
    Python
    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
    Jupyter
    The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
    Atom
    At GitHub, we're building the text editor we've always wanted. A tool you can customize to do anything, but also use productively on the first day without ever touching a config file. Atom is modern, approachable, and hackable to the core. We can't wait to see what you build with it.
    Anaconda
    A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
    MATLAB
    Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
    See all alternatives