RStudio Connect provides a platform to deliver key insights to decision-makers, at the right time, in the right format. Connect supports a spectrum of data products, static or dynamic, developed in R and Python: Dashboards, Shiny applications, APIs, reports, and so much more. Learn more.
June 15, 2022 |
In this post, we walk through the tools and functionality we used to automate survey results reporting.
April 21, 2022 |
In this post, we explore possible challenges to putting Shiny in production and how to overcome them.
April 11, 2022 | R package build
The March 2022 release of RStudio Connect has updated the minimum version of Python supported to 3.5 and removed support for Python 2. This post outlines things Connect Administrators and Publishers should know about this change.
March 30, 2022 |
With the RStudio Connect Server API, you can access advanced usage metrics to focus your data science work.
March 22, 2022 |
APIs increase the impact of your data science work. With the plumber package, you can turn your R code into API endpoints so that others can use your function or model.
March 15, 2022 |
With RStudio Connect, you can curate data science content to deliver a great experience to your audience.
February 3, 2022 |
With RStudio Team, data scientists can build and share their work within an integrated architecture.
January 13, 2022 |
RStudio Connect allows you to easily share your Shiny apps with push-button publishing, while maintaining enterprise-level security and tuning resources to meet the demands of your application.
January 4, 2022 |
Happy New Year! In this blog post, we round up some of the many announcements and product releases from RStudio in 2021.
December 22, 2021 |
In case you missed it, here are some features we introduced to RStudio Connect in 2021.
October 12, 2021 |
RStudio Connect introduces support for Tableau Analytics Extensions, an integration that enables you to create R or Python HTTP API extensions for use in Tableau workbooks.
August 30, 2021 |
RStudio Connect introduces support for FastAPI and other ASGI-compliant frameworks. Learn how to hide input code cells in Jupyter Notebooks, for audiences where a cleaner or less code-heavy presentation would be useful.
August 30, 2021 |
This release introduces new branding options for RStudio Connect such as customization of the logo, favicon, and product display name.
August 30, 2021 |
RStudio is shifting to a calendar-based versioning scheme for future releases of all our commercial products. This change will make it easier for users to understand the age of a specific release, where a release fits into our support cycles, which releases contain new features and bug fixes.
August 23, 2021 |
A new release of pins is available on CRAN today. This release adds support to time travel across dataset versions, which improves collaboration and protects your code from breaking when remote resources change unexpectedly.
May 27, 2021 |
RStudio's solutions website has been around for a long time and has recently undergone an extensive redesign
January 19, 2021 |
In this blog post, I take a look back at some of the many announcements, product releases, etc. that RStudio did in 2020. It was an exciting year, despite the challenges that 2020 presented to everyone, and we were pleased to continue to support and deliver value to the R and Python data science community.
November 17, 2020 |
Michael Lippis of The Outlook podcast recently interviewed RStudio's Lou Bajuk to discuss open source data science, support for R and Python, and how leaders are getting value from data science.
November 28, 2019 |
New CRAN release for pins adds support for cloud boards (Azure, Google Cloud and S3), new functions, use cases and many other improvements.
April 21, 2017 |
A model for data science that begins with importing and tidying data, continues with an iterative cycle of transforming, modeling, and visualizing data, and ends with communication.
March 29, 2017 |
Administration of RStudio Connect in Production
March 15, 2017 |
This webinar is for system administrators or technical R users who are interested in setting up and managing an RStudio Connect server.