Open Source IDE for R and Python
April 22, 2022

Open Source IDE for R and Python

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with RStudio

RStudio provides the IDE to be more productive with Python and R. It has a console, a syntax highlighter that supports direct code execution. And it has various tools for viewing history, debugging, and managing the workspace. RStudio Desktop is Free having integrated tools for R and in order to use advanced features then need to purchase the upgraded versions.
  • RStudio IDE makes it easy to combine R and Python in a single data science project.
  • RStudio Workbench launches and manages jupyter notebooks.
  • RStudio Package Manager makes it easy to control and distribute python and r packages.
  • There should be some more featured that needs to be added in Rstudio desktop free version.
  • In compititive market they should focus on more used friendly unique features.
  • User interface needs to be updated
  • RStudio cloud helps to build data science analysis.
  • Share shiny applications with shinyapp.io
  • Manage packages with rstudio public package manager
RStudio has a syntax highlighter editor that supports direct code execution, which makes it unique.
RStudio is available in open-source and commercial editions and runs on cross-platform. I.e. windows, Mac, and Linux.
It provides priority support and one can connect directly with their RStudio WorkBench.
The reticulate package provides a comprehensive set of tools for interoperability between Python and R.

Do you think RStudio delivers good value for the price?

Yes

Are you happy with RStudio's feature set?

Yes

Did RStudio live up to sales and marketing promises?

Yes

Did implementation of RStudio go as expected?

Yes

Would you buy RStudio again?

Yes

RStudio provides a reticulate package that provides a comprehensive set of tools for interoperability between Python and R.

RStudio Feature Ratings

Connect to Multiple Data Sources
10
Extend Existing Data Sources
10
Automatic Data Format Detection
10
Visualization
10
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
10
Data Transformations
10
Multiple Model Development Languages and Tools
10
Single platform for multiple model development
10
Self-Service Model Delivery
10
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
10