Awesome R

A curated list of awesome R packages and tools. Inspired by awesome-machine-learning.

for Top 50 CRAN downloaded packages or repos with 400+

• Awesome R
  • 2023
  • 2020
  • 2019
  • 2018
  • Integrated Development Environments
  • Syntax
  • Data Manipulation
  • Graphic Displays
  • Html Widgets
  • Reproducible Research
  • Web Technologies and Services
  • Parallel Computing
  • High Performance
  • Language API
  • Database Management
  • Machine Learning
  • Natural Language Processing
  • Bayesian
  • Optimization
  • Finance
  • Bioinformatics and Biostatistics
  • Network Analysis
  • Spatial
  • R Development
  • Logging
  • Data Packages
  • Other Tools
  • Other Interpreters
  • Learning R
• Resources
  • Websites
  • Books
  • Podcasts
  • Reference Cards
  • MOOCs
  • Lists
• Other Awesome Lists
• Contributing

2023

• Cookbook Polars for R

2020

• VSCode - vscode-R + vscode-r-lsp VSCode R Langauage Support
• gt - Easily generate information-rich, publication-quality tables from R
• lightgbm - Light Gradient Boosting Machine.
• torch - Tensors and Neural Networks with 'GPU' Acceleration.

2019

• ggforce - ggplot2 extension framework
• rayshader - 2D and 3D data visualizations via rgl
• vroom - Fast reading of delimited files

Integrated Development Environments

Integrated Development Environment

• VSCode - vscode-R + vscode-r-lsp VSCode R Langauage Support
• RStudio - A powerful and productive user interface for R. Works great on Windows, Mac, and Linux.
• Emacs + ESS - Emacs Speaks Statistics is an add-on package for emacs text editors.
• Sublime Text + R-IDE - Add-on package for Sublime Text 2/3.
• TextMate + r.tmblundle - Add-on package for TextMate 1/2.
• StatET - An Eclipse based IDE for R.
• R Commander - A package that provides a basic graphical user interface.
• IRkernel - R kernel for Jupyter.
• Deducer - A Menu driven data analysis GUI with a spreadsheet like data editor.
• Radiant - A platform-independent browser-based interface for business analytics in R, based on the Shiny.
• Nvim-R - Neovim plugin for R.
• Jamovi and JASP - Desktop software for both Bayesian and Frequentist methods, using a UI familiar to SPSS users.
• Bio7 - An IDE contains tools for model creation, scientific image analysis and statistical analysis for ecological modelling.
• RTVS - R Tools for Visual Studio.
• radian (formerly rtichoke) - A modern R console with syntax highlighting.
• RKWard - An extensible IDE/GUI for R.

Syntax

Packages change the way you use R.

• magrittr - Let's pipe it.
• pipeR - Multi-paradigm Pipeline Implementation.
• lambda.r - Functional programming and simple pattern matching in R.
• purrr - A FP package for R in the spirit of underscore.js.

Data Manipulation

Packages for cooking data.

• dplyr - Fast data frames manipulation and database query.
• data.table - Fast data manipulation in a short and flexible syntax.
• reshape2 - Flexible rearrange, reshape and aggregate data.
• tidyr - Easily tidy data with spread and gather functions.
• broom - Convert statistical analysis objects into tidy data frames.
• rlist - A toolbox for non-tabular data manipulation with lists.
• ff - Data structures designed to store large datasets.
• lubridate - A set of functions to work with dates and times.
• stringi - ICU based string processing package.
• stringr - Consistent API for string processing, built on top of stringi.
• bigmemory - Shared memory and memory-mapped matrices. The big* packages provide additional tools including linear models (biglm) and Random Forests (bigrf).
• fuzzyjoin - Join tables together on inexact matching.
• tidyverse - Easily install and load packages from the tidyverse.
• snakecase - Automatically parse and convert strings into cases like snake or camel among others.
• DataExplorer - Fast exploratory data analysis with minimum code.

Data Formats

Packages for reading and writing data of different formats.

• arrow - An interface to the Arrow C++ library.
• feather - Fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow.
• fst - Lightning Fast Serialization of Data Frames for R.
• haven - Improved methods to import SPSS, Stata and SAS files in R.
• jsonlite - A robust and quick way to parse JSON files in R.
• qs - Quick serialization of R objects.
• readxl - Read excel files (.xls and .xlsx) into R.
• readr - A fast and friendly way to read tabular data into R.
• rio - A Swiss-Army Knife for Data I/O.
• readODS - Read OpenDocument Spreadsheets into R as data.frames.
• RcppTOML - Rcpp Bindings to C++ parser for TOML files.
• vroom - Fast reading of delimited files.
• writexl - Portable, light-weight data frame to xlsx exporter for R.
• yaml - R package for converting objects to and from YAML.

Graphic Displays

Packages for showing data.

• ggplot2 - An implementation of the Grammar of Graphics.
• ggfortify - A unified interface to ggplot2 popular statistical packages using one line of code.
• ggrepel - Repel overlapping text labels away from each other.
• ggalt - Extra Coordinate Systems, Geoms and Statistical Transformations for ggplot2.
• ggstatsplot - ggplot2 Based Plots with Statistical Details
• ggtree - Visualization and annotation of phylogenetic tree.