Your Guide to Quality Data Science Products

Struggling with slow Shiny apps? See how we boosted performance and made our dashboard run 10x faster.

Johnson & Johnson's 5-year shift to open source shows how R can work in regulated pharma environments

Looking for R packages to manage clinical trial data? Pharmaverse has tools for every stage from data collection to submission!

GSK committed to 50% open-source code by 2025. Learn how they trained 1,000 biostatisticians in R.

Explore how researchers analyzed vast cellular data with a visualization tool that reveals patterns hidden in 700,000 cells.

Learn from Appsilonians at ShinyConf 2025 with sessions on reactivity, APIs, AI, and performance tuning.

Poor software quality can lead to FDA rejections. Learn what to watch for and how to stay compliant in pharma development.

From raw materials to final drug quality, see how real-time production monitoring improves compliance and efficiency in the pharma industry.

Generate and automate Quarto reports with LLMs. Build once refine with your team and deploy to Posit Connect for fresh data.

Stop guessing what users want. Learn how to use simple logs, notifications, and user interactions in Shiny to prioritize dashboard features.

Pharma is embracing open-source tools like R for clinical trials and submissions. See how companies are making the shift.

Explore a decade of Shiny in action with insights from ShinyConf24. Learn how Shiny has evolved, its impact on data science, and real-world applications.