Shiny

3 Fun Shiny Apps for Your Long Labor Day Weekend

2020-09-04 Carl Howe
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We offer 3 entertaining Shiny apps plus a bonus app from our 2nd Annual Shiny Contest that will help you forget work over Labor Day weekend Read more →

4 Tips to Make Your Shiny Dashboard Faster

2020-07-21 Krystian Igras, Appsilon Data Science
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Yes, Shiny apps can be fast and scalable. But only if you build them in the right way and use the proper tools. Read more →

Winners of the 2nd Annual Shiny Contest

2020-07-13 Mine Çetinkaya-Rundel
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After evaluating 220 submissions from 183 unique Shiny developers this year, RStudio is proud to finally announce the winners of the 2020 Shiny Contest. Read more →

learnr 0.10.0

2019-12-02 Barret Schloerke
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learnr 0.10.0 has been released! In this version of learnr, quiz questions have been expanded to allow for more question types. Text box quiz questions have been implemented natively within learnr and ranking questions have been implemented using the sortable package. The learnr R package makes it easy to turn any R Markdown document into an interactive tutorial. Tutorials consist of content along with interactive components for checking and reinforcing understanding. Read more →

Shiny 1.4.0

2019-10-15 Winston Chang
Shiny 1.4.0 has been released! This release mostly focuses on under-the-hood fixes, but there are a few user-facing changes as well. If you’ve written a Shiny app before, you’ve probably encountered errors like this: div("Hello", "world!", ) #> Error in tag("div", list(...)) : argument is missing, with no default This is due to a trailing comma in div(). It’s very easy to accidentally add trailing commas when you’re writing and debugging a Shiny application. Read more →

The Shiny Developer Series

2019-08-05 Curtis Kephart
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Shiny is one of the best ways to build interactive documents, dashboards, and data science applications. But advancing your skills with Shiny does not come without challenges. Shiny developers often have a stronger background in applied statistics than in areas useful for optimizing an application, like programming, web development, and user-interface design. Though there are many packages and tools that make developing advanced Shiny apps easier, new developers may not know these tools exist or how to find them. Read more →

Shiny v1.3.2

2019-04-26 Joe Cheng
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We’re excited to announce the release of Shiny v1.3.2. This release has two main features: a new reactivity debugging tool we call reactlog, and much faster serving of static file assets. Introducing reactlog: Visually debug your reactivity issues Debugging faulty reactive logic can be challenging, as we’ve written and talked about in the past. In particular, some of the most difficult Shiny app bugs to track down are when reactive expressions and observers re-execute either too often (i. Read more →

Shiny 1.2.0: Plot caching

2018-11-13 Joe Cheng
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We’re pleased to announce the CRAN release of Shiny v1.2.0! This release features Plot Caching, an important new tool for improving performance and scalability in Shiny apps. If you’re not familiar with the term “caching”, it just means that when we perform a time-consuming operation, we save (cache) the results so that the next time that operation is requested, we can skip the actual operation and instantly fetch the previously cached results. Read more →

Shiny Server (Pro) 1.5.8

2018-09-04 Joe Cheng
Shiny Server 1.5.8.921 and Shiny Server Pro 1.5.8.985 are now available. This release includes support for listening on IPv6 addresses. It also fixes issues with servers that have home directories mounted over NFS with root_squash, and with networks that use double-bind LDAP with restrictive permissions on user accounts. Finally, this release changes the default SSL/TLS configuration in Shiny Server Pro to remove support for the obsolete and insecure TLSv1 protocol. Read more →

Shiny 1.1.0: Scaling Shiny with async

2018-06-26 Joe Cheng
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This is a significant release for Shiny, with a major new feature that was nearly a year in the making: support for asynchronous operations! Without this capability, when Shiny performs long-running calculations or tasks on behalf of one user, it stalls progress for all other Shiny users that are connected to the same process. Therefore, Shiny apps that feature long-running calculations or tasks have generally been deployed using many R processes, each serving a small number of users; this works, but is not the most efficient approach. Read more →