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awesome-R

A curated list of awesome R packages, frameworks and software.

Last updated Jul 7, 2026

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README

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.

ggtech - ggplot2 tech themes and scales

ggplot2 Extensions - Showcases of ggplot2 extensions.

lattice - A powerful and elegant high-level data visualization system.

corrplot - A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering.

rgl - 3D visualization device system for R.

Cairo - R graphics device using cairo graphics library for creating high-quality display output.

extrafont - Tools for using fonts in R graphics.

showtext - Enable R graphics device to show text using system fonts.

animation - A simple way to produce animated graphics in R, using ImageMagick.

gganimate - Create easy animations with ggplot2.

misc3d - Powerful functions to deal with 3d plots, isosurfaces, etc.

xkcd - Use xkcd style in graphs.

imager - An image processing package based on CImg library to work with images and display them.

hrbrthemes - 🔏 Opinionated, typographic-centric ggplot2 themes and theme components.

waffle - 🍁 Make waffle (square pie) charts in R.

dendextend - visualizing, adjusting and comparing trees of hierarchical clustering.

idendro - interactive exploration of dendrograms (trees of hierarchical clustering).

r2d3 - R Interface to D3 Visualizations

Patchwork - Combine separate ggplots into the same graphic.

plot3D - Plotting Multi-Dimensional Data

plot3Drgl - Plotting Multi-Dimensional Data - Using 'rgl'

httpgd - Asynchronous http server graphics device for R.

HTML Widgets

Packages for interactive visualizations.

heatmaply - Interactive heatmaps with D3.

d3heatmap - Interactive heatmaps with D3 (no longer maintained).

DataTables - Displays R matrices or data frames as interactive HTML tables.

DiagrammeR - Create JS graph diagrams and flowcharts in R.

dygraphs - Charting time-series data in R.

formattable - Formattable Data Structures.

ggvis - Interactive grammar of graphics for R.

Leaflet - One of the most popular JavaScript libraries interactive maps.

MetricsGraphics - Enables easy creation of D3 scatterplots, line charts, and histograms.

networkD3 - D3 JavaScript Network Graphs from R.

scatterD3 - Interactive scatterplots with D3.

plotly - Interactive ggplot2 and Shiny plotting with plot.ly.

rCharts - Interactive JS Charts from R.

rbokeh - R Interface to Bokeh.

threejs - Interactive 3D scatter plots and globes.

timevis - Create fully interactive timeline visualizations.

visNetwork - Using vis.js library for network visualization.

wordcloud2 - R interface to wordcloud2.js.

highcharter - R wrapper for highcharts based on htmlwidgets

echarts4r - R wrapper to Echarts version 4

Reproducible Research

Packages for literate programming and reproducible workflows.

knitr - Easy dynamic report generation in R.

redoc - Reversible Reproducible Documents

tinytex - A lightweight and easy-to-maintain LaTeX distribution

xtable - Export tables to LaTeX or HTML.

rapport - An R templating system.

rmarkdown - Dynamic documents for R.

slidify - Generate reproducible html5 slides from R markdown.

Sweave - A package designed to write LaTeX reports using R.

texreg - Formatting statistical models in LaTex and HTML.

checkpoint - Install packages from snapshots on the checkpoint server.

brew - Pre-compute data to enhance your report templates. Can be combined with knitr.

officer - An R package to generate Microsoft Word, Microsoft PowerPoint and HTML reports.

flextable - An R package to embed complex tables (merged cells, multi-level headers and footers, conditional formatting) in Microsoft Word, Microsoft PowerPoint and HTML reports. It cooperates with the [officer] package and integrates with [rmarkdown] reports.

bookdown - Authoring Books with R Markdown.

ezknitr - Avoid the typical working directory pain when using 'knitr'

targets - Make-like pipeline tool for organizing and running data science workflows, automatically skipping steps that have already been done. Supported by rOpenSci.

R Suite - A package to design flexible and reproducible deployment workflows for R.

kable - Build fancy HTML or 'LaTeX' tables using 'kable()' from 'knitr'.

Web Technologies and Services

Packages to surf the web.

Web Technologies List - Information about how to use R and the world wide web together.

shiny - Easy interactive web applications with R. See also awesome-rshiny

shinyjs - Easily improve the user interaction and user experience in your Shiny apps in seconds.

RCurl - General network (HTTP/FTP/...) client interface for R.

curl - A Modern and Flexible Web Client for R.

httr - User-friendly RCurl wrapper.

httpuv - HTTP and WebSocket server library.

XML - Tools for parsing and generating XML within R.

xml2 - Optimized tools for parsing and generating XML within R.

rvest - Simple web scraping for R, using CSSSelect or XPath syntax.

OpenCPU - HTTP API for R handling concurrent calls, based on the Apache2 web server, to expose R code as REST web services and create full-sized, multi-page web applications.

Rfacebook - Access to Facebook API via R.

RSiteCatalyst - R client library for the Adobe Analytics.

plumber - A library to expose existing R code as web API.

golem - A framework for building production-grade Shiny apps.

Parallel Computing

Packages for parallel computing.

parallel - R started with release 2.14.0 which includes a new package parallel incorporating (slightly revised) copies of packages multicore and snow.

Rmpi - Rmpi provides an interface (wrapper) to MPI APIs. It also provides interactive R slave environment.

foreach - Executing the loop in parallel.

future - A minimal, efficient, cross-platform unified Future API for parallel and distributed processing in R; designed for beginners as well as advanced developers.

SparkR - R frontend for Spark.

DistributedR - A scalable high-performance platform from HP Vertica Analytics Team.

ddR - Provides distributed data structures and simplifies distributed computing in R.

sparklyr - R interface for Apache Spark from RStudio.

batchtools - High performance computing with LSF, TORQUE, Slurm, OpenLava, SGE and Docker Swarm.

High Performance

Packages for making R faster.

Rcpp - Rcpp provides a powerful API on top of R, make function in R extremely faster.

Rcpp11 - Rcpp11 is a complete redesign of Rcpp, targetting C++11.

compiler - speeding up your R code using the JIT

cpp11 - cpp11 is a header-only R package that helps R package developers handle R objects with C++ code. It's similar to Rcpp but with different design trade-offs and features.

Language API

Packages for other languages.

rJava - Low-level R to Java interface.

jvmr - Integration of R, Java, and Scala.

reticulate - Interface to 'Python'.

rJython - R interface to Python via Jython.

rPython - Package allowing R to call Python.

runr - Run Julia and Bash from R.

RJulia - R package Call Julia.

JuliaCall - Seamless Integration Between R and Julia.

RinRuby - a Ruby library that integrates the R interpreter in Ruby.

R.matlab - Read and write of MAT files together with R-to-MATLAB connectivity.

RcppOctave - Seamless Interface to Octave and Matlab.

RSPerl - A bidirectional interface for calling R from Perl and Perl from R.

V8 - Embedded JavaScript Engine.

htmlwidgets - Bring the best of JavaScript data visualization to R.

rpy2 - Python interface for R.

Database Management

Packages for managing data.

RODBC - ODBC database access for R.

DBI - Defines a common interface between the R and database management systems.

elastic - Wrapper for the Elasticsearch HTTP API

mongolite - Streaming Mongo Client for R

odbc - Connect to ODBC databases (using the DBI interface)

RMariaDB - An R interface to MariaDB (a replacement for the old RMySQL package)

RMySQL - R interface to the MySQL database.

ROracle - OCI based Oracle database interface for R.

RPostgres - an DBI-compliant interface to the postgres database.

RPostgreSQL - R interface to the PostgreSQL database system.

RSQLite - SQLite interface for R

RJDBC - Provides access to databases through the JDBC interface.

rmongodb - R driver for MongoDB.

redux - Redis client for R.

RCassandra - Direct interface (not Java) to the most basic functionality of Apache Cassandra.

RHive - R extension facilitating distributed computing via Apache Hive.

RNeo4j - Neo4j graph database driver.

rpostgis - R interface to PostGIS database and get spatial objects in R.

Machine Learning

Packages for making R cleverer.

anomalize - Tidy Anomaly Detection using Twitter's AnomalyDetection method.

AnomalyDetection - AnomalyDetection R package from Twitter.

ahaz - Regularization for semiparametric additive hazards regression.

arules - Mining Association Rules and Frequent Itemsets

bigrf - Big Random Forests: Classification and Regression Forests for

Large Data Sets

bigRR - Generalized Ridge Regression (with special advantage for p >> n

cases)

bmrm - Bundle Methods for Regularized Risk Minimization Package

Boruta - A wrapper algorithm for all-relevant feature selection

BreakoutDetection - Breakout Detection via Robust E-Statistics from Twitter.

bst - Gradient Boosting

CausalImpact - Causal inference using Bayesian structural time-series models.

C50 - C5.0 Decision Trees and Rule-Based Models

caret - Classification and Regression Training

Clever Algorithms For Machine Learning

CORElearn - Classification, regression, feature evaluation and ordinal

evaluation

CoxBoost - Cox models by likelihood based boosting for a single survival

endpoint or competing risks

Cubist - Rule- and Instance-Based Regression Modeling

e1071 - Misc Functions of the Department of Statistics (e1071), TU Wien

earth - Multivariate Adaptive Regression Spline Models

elasticnet - Elastic-Net for Sparse Estimation and Sparse PCA

ElemStatLearn - Data sets, functions and examples from the book: "The Elements

of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

evtree - Evolutionary Learning of Globally Optimal Trees

fable - a collection of commonly used univariate and multivariate time series forecasting models

prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

FSelector - A feature selection framework, based on subset-search or feature ranking approches.

frbs - Fuzzy Rule-based Systems for Classification and Regression Tasks

GAMBoost - Generalized linear and additive models by likelihood based

boosting

gamboostLSS - Boosting Methods for GAMLSS

gbm - Generalized Boosted Regression Models

glmnet - Lasso and elastic-net regularized generalized linear models

glmpath - L1 Regularization Path for Generalized Linear Models and Cox

Proportional Hazards Model

GMMBoost - Likelihood-based Boosting for Generalized mixed models

grplasso - Fitting user specified models with Group Lasso penalty

grpreg - Regularization paths for regression models with grouped

covariates

h2o - Deeplearning, Random forests, GBM, KMeans, PCA, GLM

hda - Heteroscedastic Discriminant Analysis

ipred - Improved Predictors

kernlab - kernlab: Kernel-based Machine Learning Lab

klaR - Classification and visualization

kohonen - Supervised and Unsupervised Self-Organising Maps.

L0Learn - Fast algorithms for best subset selection

lars - Least Angle Regression, Lasso and Forward Stagewise

lasso2 - L1 constrained estimation aka ‘lasso’

LiblineaR - Linear Predictive Models Based On The Liblinear C/C++ Library

lightgbm - Light Gradient Boosting Machine.

lme4 - Mixed-effects models

nlme - Mixed-effects models, handling user-specified matrix of residual covariance, relevant for the analysis of repeated observations in longitudinal trials

glmmTMB - Generalized mixed-effects models, handling user-specified matrix of residual covariance, relevant for the analysis of repeated observations in longitudinal trials

LogicReg - Logic Regression

maptree - Mapping, pruning, and graphing tree models

mboost - Model-Based Boosting

Machine Learning For Hackers

mlr - Extensible framework for classification, regression, survival analysis and clustering [DEPRECIATED]

mlr3 - Next generation extensible framework for classification, regression, survival analysis and clustering

mvpart - Multivariate partitioning

MXNet - MXNet brings flexible and efficient GPU computing and state-of-art deep learning to R.

ncvreg - Regularization paths for SCAD- and MCP-penalized regression

models

nnet - eed-forward Neural Networks and Multinomial Log-Linear Models

oblique.tree - Oblique Trees for Classification Data

pamr - Pam: prediction analysis for microarrays

party - A Laboratory for Recursive Partytioning

partykit - A Toolkit for Recursive Partytioning

penalized - L1 (lasso and fused lasso) and L2 (ridge) penalized estimation

in GLMs and in the Cox model

penalizedLDA - Penalized classification using Fisher's linear discriminant

penalizedSVM - Feature Selection SVM using penalty functions

quantregForest - quantregForest: Quantile Regression Forests

randomForest - randomForest: Breiman and Cutler's random forests for classification and regression.

randomForestSRC - randomForestSRC: Random Forests for Survival, Regression and Classification (RF-SRC).

ranger - A Fast Implementation of Random Forests.

rattle - Graphical user interface for data mining in R.

rda - Shrunken Centroids Regularized Discriminant Analysis

rdetools - Relevant Dimension Estimation (RDE) in Feature Spaces

REEMtree - Regression Trees with Random Effects for Longitudinal (Panel)

Data

relaxo - Relaxed Lasso

rgenoud - R version of GENetic Optimization Using Derivatives

rgp - R genetic programming framework

Rmalschains - Continuous Optimization using Memetic Algorithms with Local

Search Chains (MA-LS-Chains) in R

rminer - Simpler use of data mining methods (e.g. NN and SVM) in

classification and regression

ROCR - Visualizing the performance of scoring classifiers

RoughSets - Data Analysis Using Rough Set and Fuzzy Rough Set Theories

rpart - Recursive Partitioning and Regression Trees

RPMM - Recursively Partitioned Mixture Model

RSNNS - Neural Networks in R using the Stuttgart Neural Network

Simulator (SNNS)

Rsomoclu - Parallel implementation of self-organizing maps.

RWeka - R/Weka interface

RXshrink - RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least

Angle Regression

sda - Shrinkage Discriminant Analysis and CAT Score Variable Selection

SDDA - Stepwise Diagonal Discriminant Analysis

SuperLearner and subsemble - Multi-algorithm ensemble learning packages.

survminer - Survival Analysis & Visualization

survival - Survival Analysis

svmpath - svmpath: the SVM Path algorithm

tgp - Bayesian treed Gaussian process models

tidymodels - A collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.

torch - Tensors and Neural Networks with 'GPU' Acceleration.

tree - Classification and regression trees

varSelRF - Variable selection using random forests

xgboost - eXtreme Gradient Boosting Tree model, well known for its speed and performance.

Natural Language Processing

Packages for Natural Language Processing.

text2vec - Fast Text Mining Framework for Vectorization and Word Embeddings.

tm - A comprehensive text mining framework for R.

openNLP - Apache OpenNLP Tools Interface.

koRpus - An R Package for Text Analysis.

zipfR - Statistical models for word frequency distributions.

NLP - Basic functions for Natural Language Processing.

LDAvis - Interactive visualization of topic models.

topicmodels - Topic modeling interface to the C code developed by by David M. Blei for Topic Modeling (Latent Dirichlet Allocation (LDA), and Correlated Topics Models (CTM)).

syuzhet - Extracts sentiment from text using three different sentiment dictionaries.

SnowballC - Snowball stemmers based on the C libstemmer UTF-8 library.

quanteda - R functions for Quantitative Analysis of Textual Data.

Topic Models Resources - Topic Models learning and R related resources.

NLP for - NLP related resources in R. @Chinese

MonkeyLearn - 🐒 R package for text analysis with Monkeylearn 🐒.

tidytext - Implementing tidy principles of Hadley Wickham to text mining.

utf8 - Manipulating and printing UTF-8 text that fixes multiple bugs in R's UTF-8 handling.

corporaexplorer - Dynamic exploration of text collections

Bayesian

Packages for Bayesian Inference.

brms - High-level interface for Bayesian regression models using Stan.

coda - Output analysis and diagnostics for MCMC.

mcmc - Markov Chain Monte Carlo.

MCMCpack - Markov chain Monte Carlo (MCMC) Package.

R2WinBUGS - Running WinBUGS and OpenBUGS from R / S-PLUS.

BRugs - R interface to the OpenBUGS MCMC software.

rjags - R interface to the JAGS MCMC library.

rstan - R interface to the Stan MCMC software.

Optimization

Packages for Optimization.

lpSolve - Interface to Lpsolve to Solve Linear/Integer Programs.

minqa - Derivative-free optimization algorithms by quadratic approximation.

nloptr - NLopt is a free/open-source library for nonlinear optimization.

ompr - Model mixed integer linear programs in an algebraic way directly in R.

Rglpk - R/GNU Linear Programming Kit Interface

ROI - The R Optimization Infrastructure ('ROI') is a sophisticated framework for handling optimization problems in R.

Finance

Packages for dealing with money.

quantmod - Quantitative Financial Modelling & Trading Framework for R.

pedquant - Public Economic Data and Quantitative Analysis

TTR - Functions and data to construct technical trading rules with R.

PerformanceAnalytics - Econometric tools for performance and risk analysis.

zoo - S3 Infrastructure for Regular and Irregular Time Series.

xts - eXtensible Time Series.

tseries - Time series analysis and computational finance.

fAssets - Analysing and Modelling Financial Assets.

scorecard - Credit Risk Scorecard

Bioinformatics and Biostatistics

Packages for processing biological datasets.

Bioconductor - Tools for the analysis and comprehension of high-throughput genomic data.

genetics - Classes and methods for handling genetic data.

gap - An integrated package for genetic data analysis of both population and family data.

ape - Analyses of Phylogenetics and Evolution.

pheatmap - Pretty heatmaps made easy.

lme4 - Generalized mixed-effects models.

nlme - Mixed-effects models, handling user-specified matrix of residual covariance, relevant for the anaysis of repeated observations in longitudinal trials.

glmmTMB - Generalized mixed-effects models, handling user-specified matrix of residual covariance, relevant for the anaysis of repeated observations in longitudinal trials.