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 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 15, 2022 |
With RStudio Connect, you can curate data science content to deliver a great experience to your audience.
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.
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 |
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.
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.
June 24, 2019 |