Your Guide to Quality Data Science Products

Learn seven essential software engineering practices for GxP compliance and FDA submissions in the pharma industry.

Extend Shiny for Python functionality with JavaScript - A programming language loved by millions of developers worldwide.

Learn how to validate R Shiny apps in pharma, following FDA and GxP guidelines for compliance, performance, and security.

Learn how to optimize your Shiny application's performance with best coding practices.

Learn how to validate R packages for GxP compliance in pharma. Ensure accuracy, reproducibility, and regulatory adherence with our step-by-step guide.

Two examples on how to create a custom module in Shiny for Python - Introducing reusable components in PyShiny.

Make FDA submissions and GxP validation easier with tips and best practices tailored for clinical software development.

We built a Shiny for Python app from scratch with Shiny Assistant - A GPT model specialized in Shiny (R and Python). Here are our thoughts.

Rhino 1.10.0 brings easier coding with automated styling and auto-complete for box modules—keeping your code clean and efficient.

We built an entire R Shiny application with Shiny Assistant - A GPT model specialized in Shiny (R and Python). Is it any good?

This blog explores the top 5 popular pharmaverse packages for clinical reporting featuring {rtables}, {admiral}, {teal}, {riskmetric}, and {tidyCDISC} for improving data analysis and to ensure compliance.

Our favorite moments from posit::conf 2024—new tools, Shiny updates, and inspiring talks that are shaping the future of data science.