Core Interactive UI Components for 'Dash'
'Dash' ships with supercharged components for interactive user interfaces. A core set of components, written and maintained by the 'Dash' team, is available in the 'dashCoreComponents' package. The source for this package is on GitHub: plotly/dash-core-components.
dash, dashHtmlComponents, jsonlite, plotly, knitr, rmarkdown
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 = "0000-0002-4958-2844")), person(family = "Plotly Technologies, Inc.", role = "cph"))
Chris Parmer [aut],
Ryan Patrick Kyle [cre] (<https://orcid.org/0000-0002-4958-2844>),
Plotly Technologies, Inc. [cph]

'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.

Interactive React-Based Pivot Tables for Dash
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.
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"))
Chris Parmer [aut],
Nicolas Kruchten [aut],
Xing Han Lu [trl],
Ryan Patrick Kyle [cre] (<https://orcid.org/0000-0001-5829-9867>),
Plotly Technologies, Inc. [cph]

Core Interactive Table Component for 'dash'
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.
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"))
Chris Parmer [aut],
Ryan Patrick Kyle [cre] (<https://orcid.org/0000-0001-5829-9867>),
Plotly Technologies, Inc. [cph]