Friends don't let friends make certain types of data visualization - What are they and why are they bad.

A curated list of awesome network analysis resources.

Easily generate information-rich, publication-quality tables from R

Graph and network visualization using tabular data in R

Turn your R code into a web API.

Static Code Analysis for R

A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live

Function-oriented Make-like declarative workflows for R

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

Write reusable, composable and modular R code

Easy access to official spatial data sets of Brazil in R and Python

Set up commonly used 📦 components

Organize your project into a research website

Non-invasive pretty printing of R code

A grammar of graphics for comparative genomics

Glue strings to data in R. Small, fast, dependency free interpreted string literals.

Apply Mapping Functions in Parallel using Futures

Tools for making beautiful & useful command line interfaces

Tidy Plots for Scientific Papers

An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.

🐳 ECharts 5 for R

Easily add significance brackets to your ggplots

Low-level API for programming with R

Database (DBI) backend for dplyr

Assertive programming for R analysis pipelines

RStudio Addins to Simplify Markdown Writing

R package for integrating and analyzing multiple single-cell datasets

R package implementation of Milo for testing for differential abundance in KNN graphs

CRAN as Ubuntu Binaries

An R client for Selenium Remote WebDriver