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Learn MorePros of RStudio
Pros of Sublime Text
Pros of Visual Studio Code
Pros of RStudio
- Visual editor for R Markdown documents3
- In-line code execution using blocks2
- Can be themed1
- In-line graphing support1
- Latex support1
- Sophitiscated statistical packages1
- Supports Rcpp, python and SQL1
Pros of Sublime Text
- Lightweight720
- Plugins652
- Super fast641
- Great code editor468
- Cross platform442
- Nice UI280
- Unlimited trial260
- Cmd + d is the best command ever153
- Great community92
- Package control, modules46
- Mac OS X support26
- Easy to get started with23
- Monokai22
- Everything you need without the bloat21
- Built in Python21
- Easy18
- Speed14
- Session & edit resuming12
- Package Control10
- Well Designed9
- Multiple selections8
- ALT + CMD + DOWN is the best command ever7
- Nice7
- Fast, simple and lightweight7
- It's easy to use, beautiful, simple, and plugins rule5
- So futuristic and convenient5
- ALT + F3 the best command ever5
- Great5
- Find anything fast within entire project4
- Easy to use4
- Free4
- Simple and clean design4
- Hackable3
- Pretty3
- UI + plugins3
- Sublime Merge (Git Integration)3
- Totally customizable2
- Color schemes and cmd+d2
- Material theme best theme forever2
- Const0
Pros of Visual Studio Code
- Powerful multilanguage IDE340
- Fast309
- Front-end develop out of the box193
- Support TypeScript IntelliSense158
- Very basic but free142
- Git integration126
- Intellisense106
- Faster than Atom78
- Better ui, easy plugins, and nice git integration53
- Great Refactoring Tools45
- Good Plugins44
- Terminal42
- Superb markdown support38
- Open Source36
- Extensions35
- Awesome UI26
- Large & up-to-date extension community26
- Powerful and fast24
- Portable22
- Best code editor18
- Best editor18
- Easy to get started with17
- Lots of extensions15
- Good for begginers15
- Crossplatform15
- Built on Electron15
- Extensions for everything14
- Open, cross-platform, fast, monthly updates14
- All Languages Support14
- Easy to use and learn13
- "fast, stable & easy to use"12
- Extensible12
- Ui design is great11
- Totally customizable11
- Git out of the box11
- Useful for begginer11
- Faster edit for slow computer11
- SSH support10
- Great community10
- Fast Startup10
- Works With Almost EveryThing You Need9
- Great language support9
- Powerful Debugger9
- It has terminal and there are lots of shortcuts in it9
- Can compile and run .py files8
- Python extension is fast8
- Features rich7
- Great document formater7
- He is not Michael6
- Extension Echosystem6
- She is not Rachel6
- Awesome multi cursor support6
- VSCode.pro Course makes it easy to learn5
- Language server client5
- SFTP Workspace5
- Very proffesional5
- Easy azure5
- Has better support and more extentions for debugging4
- Supports lots of operating systems4
- Excellent as git difftool and mergetool4
- Virtualenv integration4
- Better autocompletes than Atom3
- Has more than enough languages for any developer3
- 'batteries included'3
- More tools to integrate with vs3
- Emmet preinstalled3
- VS Code Server: Browser version of VS Code2
- CMake support with autocomplete2
- Microsoft2
- Customizable2
- Light2
- Big extension marketplace2
- Fast and ruby is built right in2
- File:///C:/Users/ydemi/Downloads/yuksel_demirkaya_webpa1
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Cons of RStudio
Cons of Sublime Text
Cons of Visual Studio Code
Cons of RStudio
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Cons of Sublime Text
- Steep learning curve8
- Everything7
- Flexibility to move file4
- Number of plugins doing the same thing4
- Doesn't act like a Mac app4
- Not open sourced3
- Don't have flutter integration2
- Forces you to buy license2
Cons of Visual Studio Code
- Slow startup46
- Resource hog at times29
- Poor refactoring20
- Poor UI Designer13
- Weak Ui design tools11
- Poor autocomplete10
- Super Slow8
- Huge cpu usage with few installed extension8
- Microsoft sends telemetry data8
- Poor in PHP7
- It's MicroSoft6
- Poor in Python3
- No Built in Browser Preview3
- No color Intergrator3
- Very basic for java development and buggy at times3
- No built in live Preview3
- Electron3
- Bad Plugin Architecture2
- Powered by Electron2
- Terminal does not identify path vars sometimes1
- Slow C++ Language Server1
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- No public GitHub repository available -
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 Sublime Text?
Sublime Text is available for OS X, Windows and Linux. One license is all you need to use Sublime Text on every computer you own, no matter what operating system it uses.
Sublime Text uses a custom UI toolkit, optimized for speed and beauty, while taking advantage of native functionality on each platform.
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 Visual Studio Code?
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What tools integrate with RStudio?
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What tools integrate with Visual Studio Code?
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What are some alternatives to RStudio, Sublime Text, 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.