rsconnect
Publish Shiny Applications, RMarkdown Documents, Jupyter Notebooks, Plumber APIs, and more
The rsconnect package provides programmatic deployment of R content to hosting platforms. It publishes Shiny apps, RMarkdown and Quarto documents, and Plumber APIs to Posit Connect, Posit Connect Cloud, and shinyapps.io directly from R.
The package simplifies the deployment workflow by handling authentication and content publishing through R functions. It supports multiple authentication methods including browser-based authentication for Posit Connect Cloud and API key authentication for Posit Connect. Once configured, developers can deploy content using simple function calls like deployApp() and deployDoc().
Contributors#
Resources featuring rsconnect#
How to write and deploy a Python web app with Shiny Express and Posit Team
Winston Chang at Posit joined us to share a quicker and simpler way of writing Shiny applications in Python, called Shiny Express
With Shiny Express you can create interactive data dashboards and data-driven applications faster than ever.
Helpful resources: ️ Introducing Shiny Express: https://shiny.posit.co/blog/posts/shiny-express/ ️ Shinylive: https://shinylive.io/py/examples/ ️ Component Gallery: https://shiny.posit.co/py/components/ ️ VS Code Shiny extension: https://marketplace.visualstudio.com/items?itemName=Posit.shiny-python ️ Q&A recording: https://youtube.com/live/zg4LP4lkihM?feature=share rsconnect-python package: https://pypi.org/project/rsconnect-python/
️ Follow-up links: Event Survey: https://forms.gle/8AcMAnjfPFSTQZJK6 Posit Team: https://posit.co/products/enterprise/team/ Request evaluation: pos.it/chat-with-us Posit Team demo resources: pos.it/demo-resources
What will you learn? If you’re new to Shiny → you’ll get started writing and deploying your first Shiny Express application in Python.
If you already know Shiny → you’ll see how Shiny Express can make your development experience quicker and more efficient.
Happy with the way things are? No need to change what you’re doing! We think of Shiny Express and Shiny Core as complementary, and intend to support both syntaxes indefinitely. Last month’s Workflow with Posit Team Demo featured Shiny in R and used bslib for custom theming, which you can check out here in the recording: https://youtu.be/O6WLERr5bKU?feature=shared
LIVE Q&A ROOM for ~11:30 am on Feb 28th: https://youtube.com/live/zg4LP4lkihM?feature=share
There is no need to register; join us here on YouTube at the time above or you can add to your calendar using the link below:
pos.it/team-demo
We host these Workflow Demos on the last Wednesday of every month, so you can use the link above to add the recurring event as well.
#python
Weihuang Wong & Kiegan Rice | How to be a pollinatoR | RStudio (2022)
R users are part of data ecosystems comprising both statistical and non- statistical applications. We may work with SAS or Stata datafiles; non-R users may help run R scripts; or we may need to generate outputs in Word or Excel. Just as pollinators support biodiversity, we believe R users can be constructive members of diverse data ecosystems. Our talk will: (1) outline what it means to be constructive, (2) highlight tools that can help R users contribute to their ecosystems, and (3) describe practices that can improve workflows involving diverse groups of staff and software. We hope our talk will inspire R users to think creatively and empathetically about how R can be a force for good in diverse data ecosystems.
Talk materials are available at https://rsconnect.norc.org/rstudioconf-pollinator
Session: Working with people is hard
Model Monitors and Alerting at Scale with RStudio Connect | Adam Austin, Socure
Deploying a predictive model signals the end of one long journey and the start of another. Monitoring model performance is crucial for ensuring the long-term quality of your work.
A monitor should provide insights into model inputs and output scores, and should send alerts when something goes wrong. However, as the number of deployed models increases or your customer base grows, the maintenance of your monitor portfolio becomes daunting. In this talk we’ll explore a solution for orchestrating monitor deployment and maintenance using RStudio Connect. I will show how applications of R Markdown, Shiny, and Plumber can unburden data scientists of time-consuming report upkeep by empowering end-users to deploy, update, and own their monitors.
Timestamps: 2:01 - Start of presentation 3:43 - About Socure 6:12 - Model performance matters, deployment isn’t the end of the story 7:26 - What is a monitor? 8:55 - What is an alert? 11:00 - Monitor example 18:09 - Firing an alert from RStudio Connect 19:00 - Why monitor from RStudio Connect? 24:33 - How monitoring drives success at Socure 30:00 - Git-backed deployment in RStudio Connect 36:00 - Shiny app that their account managers see 46:00 - Architecture of a monitoring system 56:00 - Connect hot tip System-wide packages 57:00 - Why did we try Connect for monitoring 59:02 - Why do we keep using it for that :)
Resources shared: Blastula package: https://github.com/rstudio/blastula connectapi package: https://github.com/rstudio/connectapi rsconnect package: https://rstudio.github.io/rsconnect/ Intro to APIs blog post: https://www.rstudio.com/blog/creating-apis-for-data-science-with-plumber/
Speaker Bio: Adam Austin is a senior data scientist and RStudio administrator at Socure, a leading provider of identity verification and fraud prevention services. His work focuses on data science enablement through tools, automation, and reporting
Shiny Usage Tracking in Posit Connect
🤔 Who actually used my Shiny app and for how long? ↗️ Is viewership increasing? Did my CEO use it?!
Did you know? Posit Connect can record event-style usage information which is intended to answer questions like this and is accessed via the Posit Connect Server API.
Please note: during the meetup you can ask questions here anonymously as well: rstd.io/connect-meetup-questions
We will walk through several examples for getting started with the Posit Connect usage data designed to help you answer questions like:
Who is visiting my content? What reports are most common? Has viewership increased over time?
During/after the meetup, you can use the GitHub repo to create the dashboard in your own Connect environment as well and schedule the report to be distributed through email (with inline graphics). The goal for this code is that it is generic enough so that you can copy/paste it into your own R session and run it successfully.
In order for the code to work in your environment, you need two pieces of information unique to your enterprise: Posit Connect’s server path A Posit Connect API Key
We’d love to hear your feedback and learn how you have taken this API and created dashboards for your own organizations as well.
Helpful Links: Follow-up thread on community.rstudio.com: https://community.rstudio.com/t/rstudio-connect-usage-data-thread-to-discuss-ideas-improvements/130581 Contribute to open-source examples: https://github.com/sol-eng/connect-usage Posit Connect Server API: https://docs.rstudio.com/connect/api/ Cookbook: https://docs.rstudio.com/connect/cookbook/ R Client: https://pkgs.rstudio.com/connectapi/ Python Client (mostly deployment): https://github.com/rstudio/rsconnect-python/ Cole’s slides: https://github.com/RStudioEnterpriseMeetup/Presentations
If you ever have questions about Posit Connect or any of our professional products, you can use this link to chat with our team: rstd.io/chat-with-rstudio
