Your Guide to Quality Data Science Products

Learn about ShinyProxy 3.1.1 enhancements, improving Shiny app scalability and efficiency.

If you want to make a reproducible R environment, look no further than Docker. Here's a guide for getting started with R Docker.

Posit and Databricks have joined forces to revolutionize data science, explore what this means for the R community, data scientists and data engineers.

Comprehensive tutorial on RStudio Workbench deployment to AWS with Terraform

Scaling your Shiny apps at the infrastructure level with 2020 Shiny Contest Winner, Pedro Silva

Appsilon team members Jędrzej Świeżewski, PhD and Damian Budelewski will be giving presentations at the Why R? Conference on November 12th.

In this video, Appsilon Co-Founder Damian Rodziewicz explains best practices for scaling Shiny applications in production to hundreds or even thousands of users.

Appsilon has created a package to speed up R Shiny by offloading long-running calculations and unfreezing the Shiny UI.

Distributed data science teams bring unique challenges. Managers may be looking for new tools. In this article we’ll explain how RStudio Connect helps organizations to properly organize teams and overcome the typical inefficiencies of remote work.

Artificial Intelligence, Machine Learning, and Deep Learning models have demonstrated significant power to grow and improve businesses. This article explains how to properly approach developing an AI model.

Appsilon Data Science is now an RStudio Full Service Certified Partner. In addition to building enterprise R Shiny Dashboards, we now offer Managed Services and implementation of RStudio products such as RStudio Connect.

Why stick to Excel and risk poorly maintained data or serious miscalculations? Discover efficiency gains brought by R Shiny and Python Dash