Charlie Gao

plumber

Turn your R code into a web API

purrr

A functional programming toolkit for R

pkgdown

Generate static html documentation for an R package

ellmer

Call LLM APIs from R

tidyverse.org

Source of tidyverse.org

rvest

Simple web scraping for R

DBI

A database interface (DBI) definition for communication between R and RDBMSs

btw

A complete toolkit for connecting R and LLMs

mcptools

Model Context Protocol For R

mirai

Minimalist Async Evaluation Framework for R

ragnar

RAG in R

rlang

Low-level API for programming with R

rstudio-conf

Materials for rstudio::conf

testthat

An R to make testing

nanonext

R binding for NNG (Nanomsg Next Gen)

httr2

Make HTTP requests and process their responses. A modern reimagining of httr

shinytest2

httpuv

HTTP and WebSocket server package for R

carrier

Create standalone functions for remote execution

coro

Coroutines for R

later

Schedule an R function or formula to run after a specified period of time

pkgload

Simulate installing and loading a package

promises

A promise library for R

sass

Sass compiler package for R

Shiny

Easy interactive web applications with R

tidytemplate

A pkgdown template for core tidyverse packages

watcher

Watch the File System for Changes

websocket

WebSocket client for R

yaml

R package for converting objects to and from YAML

Shiny in Production 2025

Hosted in the centre of Newcastle Upon Tyne, UK, this conference delves into the world of {shiny} and other web-focused R packages

useR! 2025

useR! 2025 brings together R users, developers, and enthusiasts from around the world for three days of tutorials, presentations, and networking

Charlie Gao: Advances in the Shiny Ecosystem

Charlie Gao, Senior Software Engineer on Posit’s open source team will review some of the latest high-performance async tooling developed by Posit to support R Shiny in terms of performance, scalability and user experience

Charlie Gao

Purrrfectly parallel, purrrfectly distributed (Charlie Gao, Posit) | posit::conf(2025)

Purrrfectly parallel, purrrfectly distributed Speaker(s): Charlie Gao Abstract: purrr is a powerful functional programming toolkit that has long been a cornerstone of the tidyverse. In 2025, it receives a modernization that means you can use it to harness the power of all computing cores on your machine, dramatically speeding up map operations. More excitingly, it opens up the doors to distributed computing. Through the mirai framework used by purrr, this is made embarrassingly simple. For those in small businesses, or even large ones – every case where there is a spare server in your network, you can now put to good use in simple, straightforward steps. Let us show you how distributed computing is no longer the preserve of those with access to high performance compute clusters. Materials - https://shikokuchuo-posit2025.share.connect.posit.cloud/ posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Charlie Gao

The Future of Asynchronous Programming in R - Charlie Gao

Asynchronous programming can be a powerful paradigm, whereby computations are allowed to run concurrently without blocking the main session. It is an opportune time to survey the current landscape, as R infrastructure in this respect has matured significantly over recent years. Instead of running a script sequentially from top to bottom, logic that takes a long or unpredictable amount of time to complete may be offloaded to different R processes, possibly on other computers or in the cloud. In the meantime, the main session may be running constantly and non-interactively, performing operations in real time, synchronizing with these tasks only when necessary. This style of programming requires a very specific set of tooling. At the very base, there is an infrastructure layer involving key enabling packages such as later and mirai. It will be explained at a high level why these two packages together currently offer the most complete and efficient implementation of async for the R language. There are further tools which expand async functionality to cover specific needs, such as the watcher package for filesystem monitoring. There are then a range of tools built on top of these, bringing async capabilities to the end-user, such as the httr2 package for querying APIs and the ellmer package for interacting with LLMs. In addition to these existing tools, exciting developments in asynchronous programming are just around the corner. These will be previewed, together with speculation on what might be possible at some point in the future

Charlie Gao

{mirai} and {crew}: next-generation async to supercharge {promises}, Plumber, Shiny, and {targets}

{mirai} is a minimalist, futuristic, and reliable way to parallelise computations – either on the local machine, or across the network. It combines the latest scheduling technologies with fast, secure connection types. With built-in integration to {promises}, {mirai} provides a simple and efficient asynchronous back-end for Shiny and Plumber apps. The {crew} package extends {mirai} to batch computing environments for massively parallel statistical pipelines, e.g. Bayesian modeling, simulations, and machine learning. It consolidates tasks in a central {R6} controller, auto-scales workers, and helps users create plug-ins for platforms like SLURM and AWS Batch. It is the new workhorse powering high-performance computing in {targets}. Talk by Charlie Gao and Will Landau Slides: https://wlandau.github.io/posit2024 GitHub Repo: https://github.com/wlandau/posit2024 `mirai`: https://shikokuchuo.net/mirai/ `crew`: https://wlandau.github.io/crew/

Charlie Gao