Chat with large language models from a range of providers including Claude, OpenAI, Azure, Bedrock, and Google Gemini. Supports streaming,a asyncronous calls, tool calling, and structured data extraction.

How to include tables in your {ggiraph} tooltips.

Use colGroup() to create column groups in a table.

Welcome to the workshop and hello, bslib!

The tidyprompt package allows users to prompt and empower their large language models (LLMs) in a tidy way. It provides a framework to construct LLM prompts using tidyverse-inspired piping syntax, with a library of pre-built prompt wrappers and the option to build custom ones. Additionally, it supports structured LLM output extraction and validation, with automatic feedback and retries if necessary. Moreover, it enables specific LLM reasoning modes, autonomous R function calling for LLMs, and compatibility with any LLM provider.

Collection of notifications, confirm dialogs and alerts for 'Shiny' applications - dreamRs/shinypop

Editable DataTables for shiny apps. Contribute to jbryer/DTedit development by creating an account on GitHub.

Data table backend for dplyr. Contribute to tidyverse/dtplyr development by creating an account on GitHub.

User login and admin panel for shiny apps (Semantic UI) - systats/shinyuser

Demonstration of user management and authentication system in R Shiny - yanirmor/shiny-user-management

:calendar: R htmlwidget for tui-calendar. Contribute to dreamRs/tuicalendr development by creating an account on GitHub.

Take screenshots in Shiny apps. Contribute to dreamRs/capture development by creating an account on GitHub.

Shiny modules to import data into an application or addin - dreamRs/datamods

Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can export a notebook containing the analysis of 'ExPanD' and/or use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.

Contribute to jsugarelli/shinyfilter development by creating an account on GitHub.

all-contributions as an R package. Contribute to ropenscilabs/allcontributors development by creating an account on GitHub.

Add a download button to a 'shiny' plot or 'plotly' that appears when the plot is hovered. A tooltip, styled to resemble 'plotly' buttons, is displayed on hover of the download button. The download button can be used to allow users to download the dataset used for a plot.

A Toolbox for Non-Tabular Data Manipulation. Contribute to renkun-ken/rlist development by creating an account on GitHub.

:rocket: R package: doFuture - A Universal Foreach Parallel Adaptor using the Future API of the 'future' Package - HenrikBengtsson/doFuture

R package: parallelly - Enhancing the 'parallel' Package - HenrikBengtsson/parallelly

:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone - HenrikBengtsson/future

htmlwidget that binds d3js collapsible trees to R and Shiny to make an interactive search tool - yonicd/d3Tree

R's data.table package extends data.frame:. Contribute to Rdatatable/data.table development by creating an account on GitHub.

An R package to create data libraries and data dictionaries. - dbosak01/libr

Install and run external command-line programs in R through use of Docker and online repositories.

BRowse Over Longitudinal Data Graphically and Analytically in R - njtierney/brolgar

Some R-based tools for navigating the online news landscape - jaytimm/quicknews

Automated testing for shiny apps. Contribute to rstudio/shinytest development by creating an account on GitHub.