R-Updater is a tool to easily update R and R packages on Windows, macOS, and Linux systems. It provides a GUI to manage R versions and packages, automate updates, and integrate with IDEs.
Automate R version and package updates on Windows, macOS, and Linux systems with a GUI-driven tool that integrates with popular IDEs.
What is R-Updater?
R-Updater is an open-source software application designed to simplify the process of updating R and R packages on Windows, macOS, and Linux operating systems. It provides a graphical user interface to manage multiple versions of R, update R to the latest version with a single click, upgrade R packages currently installed, install new packages from CRAN repositories, and configure automatic updates.
Key features of R-Updater include:
Manage multiple versions of R on the same system and switch between them easily
One-click update to the latest R version available
Upgrade or install R packages with a visually intuitive interface
Set up automatic checks and updates for R and packages on a schedule
Seamless integration with popular IDEs like RStudio, Visual Studio Code, Jupyter Notebook
Available for Windows, macOS and Linux with the same easy-to-use interface
R-Updater aims to save time and effort for R developers and data scientists by helping keep their R installation and packages up-to-date. Its automated update capabilities also assist with reproducibility by ensuring consistent versions are used across a team. R-Updater is free and open-source software licensed under GNU GPLv3.
R-Updater Features
Features
Graphical user interface to manage R versions and packages
Automate checking and installing R and package updates
Support for Windows, macOS and Linux
Integrate with RStudio, R GUI and other IDEs
Manage multiple R versions and switch between them
Install, remove and update CRAN and Bioconductor packages
Schedule automatic checks for updates
Command line interface in addition to GUI
Pricing
Free
Open Source
Pros
Easy to use interface for R version and package management
Automates tedious update tasks
Cross-platform support
Integrates with popular R IDEs
Manages multiple R versions
Comprehensive package management
Cons
Less flexibility than manual package management
Requires occasional manual intervention for complex updates
Limited configuration options compared to command line tools
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