Posts
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
What is Posts?
Awesome R is a curated collection of high-quality R packages, frameworks, and software resources. It serves as a directory for R users to discover tools for data manipulation, visualization, statistical analysis, machine learning, and other data science tasks. The project organizes resources by category and includes popularity indicators to help users identify well-maintained packages.
R programmers, data scientists, statisticians, and researchers looking to discover and evaluate R packages for their projects. It's particularly valuable for newcomers to R who need guidance on which packages to use.
Unlike searching CRAN or GitHub randomly, Awesome R provides a vetted, categorized collection with quality indicators, saving users time and helping them avoid low-quality or abandoned packages. It's community-maintained and follows the established 'awesome list' pattern for reliability.
Overview
A curated list of awesome R packages, frameworks and software.
Use Cases
Best For
- Discovering essential R packages for data manipulation and visualization
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
