Extremely robust and well designed Shiny app from Curbcut, making massive amounts of local city data accessible via maps. They dealt with performance issues partly by pre-computing data for every city block and storing those in qs files, as well as rendering pre-generated Mapbox vector tiles.
Worth watching the talk by Maxime Bélanger de Blois if/when it's online.
App: https://montreal.curbcut.ca/
GitHub: https://github.com/Curbcut/curbcut-montreal
#RShiny #RStats #ShinyConf2025 #ShinyConf #dataviz

Screenshot of choropleth map of Montreal with "Access to amenities" sidebar allowing users to select options such as transportation mode and time, amenity, and geography

**Sharon Machlis** @smach@masto.machlis.com · Apr 10

Apr 10

Sharon Machlis @smach@masto.machlis.com

Interactive Web app creates alternative text from a plot. By @ivelasq3 built with the R Shiny framework and {ellmer}, {shinychat}, {magick} & other #RStats s

App: https://posit-ai-altr.share.connect.posit.cloud/

Code: https://github.com/ivelasq/rplot-alt-text-generator

Screenshot of the "altR" app showing an uploaded graph and its generated alternative text.

The line graph is titled "US national minimum wage, in nominal and real terms (2024$)". It displays data from 1940 to 2020. Two lines are shown: a blue line labeled "Real minimum wage" and a green line labeled "Nominal minimum wage". The blue line fluctuates and peaks around 1970 before trending downward, while the green line gradually increases over time, with a more noticeable rise starting in the late 2000s.

Below the graph, a text box labeled "Generated Alternative Text" reads: "Line graph of the US national minimum wage in nominal and real terms (adjusted for inflation) from 1940 to 2020, illustrating the changes over time. The blue line represents the real minimum wage, which fluctuated and peaked around 1970 before gradually declining, while the green line shows the nominal minimum wage, which has steadily increased since the late 2000s. Data reflects minimum wage trends leading up to 2024 dollars."

#RShiny #GenAI #a11y

**James Balamuta** @coatless@mastodon.social · Apr 10 *

Apr 10 *

James Balamuta @coatless@mastodon.social

Slides from my "Shiny without Boundaries" guest lecture in STAT 447 at UIUC are now available!

Shiny fundamentals + 7 pathways to deploy apps anywhere: from on-premise servers to WebAssembly in browsers.

Slides: https://talks.thecoatlessprofessor.com/stat447-shiny-without-boundaries-one-app-multiple-destinations/
Code: https://github.com/coatless-talks/stat447-shiny-without-boundaries-one-app-multiple-destinations

#rstats #rshiny

**Sharon Machlis** @smach@masto.machlis.com · Apr 8

Apr 8

Sharon Machlis @smach@masto.machlis.com

How do you do <some thing> in Quarto?
This app lets you ask natural language questions about Quarto tips I've rounded up over the years. Note it's not the complete Quarto docs! Just things I've thought were interesting or cool or I've looked up repeatedly
App: https://apps.machlis.com/shiny/quartotips/
Code: https://github.com/smach/QuartoTips
Built in R Shiny with the {shinychat}, {ragnar} & {ellmer} #RStats s

#QuartoPub #RShiny #WeekendProject

**James Balamuta** @coatless@mastodon.social · Apr 3 *

Apr 3 *

James Balamuta @coatless@mastodon.social

From app to container in one command: export()

{shinydocker} is a new experimental R package handling Docker containerization for both R & Python Shiny apps. It auto-detects dependencies and app type.

Code: https://github.com/coatless-rpkg/shinydocker
Post: https://blog.thecoatlessprofessor.com/programming/r/rethinking-shiny-containerization-the-shinydocker-experiment/

GIF

#rstats #python #rshiny

**James Balamuta** @coatless@mastodon.social · Apr 3

Apr 3

James Balamuta @coatless@mastodon.social

Looking forward to a (virtual) homecoming next week! Guest lecturing at my alma mater for STAT 447 @ UIUC on Wednesday, April 9, 6pm Central.

Shiny Without Boundaries: One App, Multiple Destinations

Deploy your #RStats #rshiny apps anywhere: cloud, desktop, browser & beyond.

**Jumping Rivers** @jumpingrivers@fosstodon.org · Apr 2

Apr 2

Jumping Rivers @jumpingrivers@fosstodon.org

Happy to announce our first speaker for the Shiny in Production Conference—Colin Fay! He’ll be presenting 'After {shiny} — Bringing R to Mobile with webR'.

#Rstats #Rshiny #ShinyinProduction
https://shiny-in-production.jumpingrivers.com/

**Sharon Machlis** @smach@masto.machlis.com · Apr 1

Apr 1

Sharon Machlis @smach@masto.machlis.com

Maybe Shiny is playing an April Fools trick on me? My R Shiny app works fine in RStudio *on my Shiny Web server* but not at its URL. All my other Shiny apps work fine on that server at their URLs. Sigh. Don't see anything useful in my logs.
The app will work on shinyapps.io so I guess that's what I'll use meanwhile.
#RStats #RShiny

An error has occurred
The application failed to start.

The application exited during initialization.

**Jumping Rivers** @jumpingrivers@fosstodon.org · Mar 31

Mar 31

Jumping Rivers @jumpingrivers@fosstodon.org

Abstract submissions for Shiny in Production Conference closes this Thursday, April 3rd! Don't miss your chance to share your insights with the Shiny community!

#ShinyInProduction #RShiny #DataScience #CallForSpeakers
https://shiny-in-production.jumpingrivers.com/

**James Balamuta** @coatless@mastodon.social · Mar 31

Mar 31

James Balamuta @coatless@mastodon.social

Introducing dockitect: A new #rstats for programmatically creating and managing Dockerfiles with pipe-friendly syntax!

Quickly containerize your R projects with specialized templates for scripts, #rshiny apps, and more.

Code: https://github.com/coatless-rpkg/dockitect
Post: https://blog.thecoatlessprofessor.com/programming/r/introducing-dockitect-making-docker-feel-more-native-to-r/

Screenshot of RStudio IDE showing code for generating a Dockerfile for data analysis using the dockitect package. The code demonstrates:

Generate the Dockerfile using

library(dockitect)
dk_from_script("analysis.R") |>
write_dockerfile()

Build the Docker image with:

docker build -t my-analysis .

Run with volume mounting:

docker run -v $(pwd)/data:/app/data -v $(pwd)/results:/app/results my-analysis

The cell output shows successful execution with the message "Dockerfile written to Dockerfile". The terminal shows Docker build details and the results from automatically running the script including the mapped data output in the file panel.

Screenshot of RStudio showing code for creating an interactive R environment with Docker. The code includes:

Generate a Dockerfile with specific packages including "visualize"

library(dockitect)
dk_template_base(
r_version = "4.4.3",
additional_pkgs = c("visualize")
) |>
write_dockerfile()

Build the image with:
docker build -t r-interactive .

Run interactively with:
docker run -it -v $(pwd):/app r-interactive R

The terminal shows R 4.4.3 running with its standard startup message, license information, and help commands.

Screenshot showing a complete workflow for containerizing a Shiny app. Left panel shows R code that:

Creates a Dockerfile using dockitect's template for Shiny
Sets R version 4.4.0, port 3838, and app directory

library(dockitect)
dk_template_shiny(
r_version = "4.4.0",
port = 3838,
app_dir = "shiny_app/"
) |>
write_dockerfile()

Builds with:

docker build --platform linux/amd64 -t my-shiny-app .

Runs with:

docker run -p 3838:3838 my-shiny-app

Right panel shows the running Shiny app with "Hello Docker!" and a histogram of waiting times. Terminal displays Shiny server logs.

**Jumping Rivers** @jumpingrivers@fosstodon.org · Mar 28

Mar 28

Jumping Rivers @jumpingrivers@fosstodon.org

The third blog in our Sparklines in R series is here!

Discover how to create sparklines in Reactable tables within a Shiny app in our latest post by Data Scientist Osheen MacOscar.

#Rshiny #Rstats #Blogs
https://www.jumpingrivers.com/blog/sparkline-reactable-shiny/

www.jumpingrivers.com · Mar 27Sparklines in Reactable Tables in Shiny AppsIn this blog I will demonstrate how to use sparkline reactable tables in a Shiny app. Thankfully {reactable} has some helpful functions that make this super easy!

**Sébastien Plutniak** @splutniak@archaeo.social · Mar 24

Mar 24

Sébastien Plutniak @splutniak@archaeo.social

Discover the "archeofrag.gui" application/R package, a tool for refitting and spatial analysis in archaeology:

https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/

#archaeology #Rstats #Rshiny

**Posit** @Posit@fosstodon.org · Mar 19

Mar 19

Posit @Posit@fosstodon.org

Excited for ShinyConf 2025!?
Don't miss Barret Schloerke's talk, "AI Kung-Fu: Training your model in Two Function Calls".

Barret will demonstrate how to create system prompts for Python packages using just two function calls, enabling LLMs to interact with custom tools seamlessly.

Attend ShinyConf 2025 (Apr 9-11), a global virtual conference focused on Shiny and data-driven applications. Discover more and register at https://www.shinyconf.com/agenda.

Shiny Conf 2025. A.I. kung-fu: training your model in two function calls. Barret Schloerke.

#ShinyConf2025 #RShiny #ShinyForPython

**Posit** @Posit@fosstodon.org · Mar 14

Mar 14

Posit @Posit@fosstodon.org

We're thrilled about ShinyConf 2025 (April 9-11), a global virtual event for all things Shiny.

We're particularly excited about the keynote: "AI and Shiny" by Winston Chang. He'll explore LLMs + Shiny. Learn how to leverage AI capabilities within your Shiny apps, and discover how AI can make the Shiny development process faster and more enjoyable.

Don't miss out on learning about the latest advancements in Shiny. Register today at shinyconf.com/agenda.

Shiny Conf 2025
Keynote: AI and Shiny
Winston Chang .

#RStats #rshiny #shinyforpython

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