"In part two of this blog series, I am going to demonstrate how to use document, test and publish a python package."

Python 3.14 was released in October. Here we summarise some of the more interesting changes and some trends in Python development and data-science over the past year.

In this blog I’ll share real-world lessons from deploying Posit Workbench on Azure Kubernetes Service (AKS), including practical debugging tips, common pitfalls, and the importance of looking beyond the cluster when issues arise.

Python package managers are essential tools that help developers install, manage, and update external libraries or packages used in Python projects. These packages can contain reusable code, modules, and functions developed by other programmers, making it easier for developers to build applications without reinventing the wheel.

Jake Gold tests how well 90s-era CGI works today, using a Go + SQLIte CGI program running on a 16-thread AMD 3700X. Using CGI on modest hardware, it’s possible to …

Not all R packages are clearly “good” or “risky”, most fall somewhere in between. This post introduces our scoring framework around package documentation. We investigate the different measures, then look at a few well known packages.

In regulated industries, Shiny apps must be reliable, reproducible, and well-documented. Validation builds trust, supports compliance, and prevents costly delays. Learn how to avoid common pitfalls and set up a lightweight, effective validation approach that scales with your needs. Validation isn’t a blocker, it’s a long-term advantage for you and your team.

We are pleased to announce the lightning talks for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!

The popularity of an R package can be measured using package downloads and reverse dependencies. While these measures clearly have issues, they do provide a good indication of the package health. This post looks at these measures in more detail.

The details of all of our workshops for Shiny in Production are now live on the conference website. Read on for full details all in one place.

Not all R packages are clearly “good” or “risky”, most fall somewhere in between. This post introduces a scoring framework to help users assess package quality, based on documentation, code, maintenance, and popularity. We also share key principles to ensure the scores are useful, fair, and adaptable to different contexts.

We are pleased to announce the full length talks for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!

October 2025

Shiny is great, but what if you need more flexibility and performance? In this lightning talk, I’ll show how the reactR package helped me extend Shiny’s capabilities to build ESQapp, a highly interactive and scalable application. By integrating React.js, I overcame Shiny’s UI limitations, improved performance, and created custom components that wouldn’t be possible with Shiny alone. If you’re looking to level up your Shiny apps with modern web technologies, this talk is for you!

Adding images to a web page used to be easy. Now with high-resolution screens and an array of modern image formats it can feel like much more work. This post explains why things have become more complex and suggestions solutions for making life a little easier and web pages more performant.