This catalog curates data science courses, tutorials, books, and other learning resources.
awesome-r
Explore packages, frameworks, and software in Awesome R, a curated resource list for the R ecosystem.
About awesome-r
Awesome R is a curated list of R packages, frameworks, software and learning resources hosted on GitHub. It organizes entries by topic, including development environments, syntax, data manipulation, data formats, graphics, machine learning, finance, bioinformatics, spatial analysis, and materials such as books, podcasts, reference cards and MOOCs.
The page provides names and short descriptions with links to external projects rather than distributing the software itself.
Key features
- Lists R development environments like RStudio, VSCode, Emacs + ESS
- Groups data manipulation packages such as dplyr and data.table
- Groups data format tools for Arrow, JSON, Excel, SPSS files
- Includes sections for machine learning, NLP, Bayesian, optimization
- Collects learning resources including books, MOOCs, podcasts
- Highlights recent additions by year, e.g., 2023, 2020, 2019
Best for: People using R who want an organized list of packages and learning materials.
Good for
- Organized by task-based sections
- Lists both software and learning resources
- Shows yearly additions for recent tools
awesome-r at a glance
- Website
- github.com/qinwf/awesome-R
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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