Title: Vanilla HTML Components for 'Dash'
Description: 'Dash' is a web application framework that provides pure Python and R abstraction around HTML, CSS, and JavaScript. Instead of writing HTML or using an HTML templating engine, you compose your layout using R functions within the 'dashHtmlComponents' package. The source for this package is on GitHub: plotly/dash-html-components.
Suggests: dash, dashCoreComponents, knitr, rmarkdown

Title: Interactive React-Based Pivot Tables for Dash
Description: Pivot tables are useful for interactive presentation of  summary statistics computed for data contained in another table. The 'dashPivottable' package wraps 'react-pivottable', making it easy to add drag-and-drop tables into your Dash for R applications.
Suggests: dash, dashHtmlComponents, dashTable, jsonlite
Authors@R: c(person("Chris", "Parmer", email = "chris@plotly.com", role = c("aut")), person("Nicolas", "Kruchten", email = "nicolas@plotly.com", role = c("aut")), person("Xing Han", "Lu", email = "xinghan@plotly.com", role = c("trl")), person("Ryan Patrick", "Kyle", email = "ryan@plotly.com", role = c("cre"), comment = c(ORCID = "0000-0001-5829-9867")), person(family = "Plotly Technologies, Inc.", role = "cph"))
Ryan Patrick Kyle [cre] (<https://orcid.org/0000-0001-5829-9867>),

Title: Core Interactive Table Component for 'dash'
Description: An interactive table component designed for editing and exploring large datasets, 'dashDataTable' is rendered with standard, semantic HTML <table/> markup, which makes it accessible, responsive, and easy to style. This component was written from scratch in 'React.js' specifically for the 'dash' community. Its API was designed to be ergonomic and its behaviour is completely customizable through its  properties.
Authors@R: c(person("Chris", "Parmer", email = "chris@plotly.com", role = c("aut")), person("Ryan Patrick", "Kyle", email = "ryan@plotly.com", role = c("cre"), comment = c(ORCID = "0000-0001-5829-9867")), person(family = "Plotly Technologies, Inc.", role = "cph"))