Your Guide to Quality Data Science Products

Excel is great, but it's no match for R. Solve real business problems in this comprehensive tutorial.

Introducing {box.linters}, a new package providing linter functions compatible with {box} modules for improved code quality in {rhino} and other {box} projects.

Appsilon’s shiny.gosling hits a huge milestone by being included in Bioconductor - Learn what this means for you as a developer and user.

Tackle design complexity through high-fidelity prototyping by thinking creatively, valuing user input and ensuring scalability.

Struggling with sifting through endless log files for your R/Shiny apps? LogAnalyzer simplifies log monitoring and error debugging on Posit Connect.

R isn’t the fastest programming language, but professionals love it for processing data. Just how fast is it for processing one billion rows? We did the research, you do the reading.

Take your R/Shiny apps to the next level with JavaScript. Learn best practices for typing, documentation, and integrating React with Rhino.

Explore updates to Appsilon's Shiny-React ecosystem, including shiny.react, shiny.blueprint, and shiny.fluent.

Enter Appsilon's Hex Logo Design Contest for a chance to get a free, custom-designed hex logo for your R package.

R Shiny often isn’t the bottleneck, but the way you handle data might be. We bring you a detailed comparison between DuckDB and dplyr for R Shiny.

Meet Shinylive - A beginner-friendly way to share and run Shiny applications without a Python server - works with GitHub gists!

Quality matters in software projects; get tips for setting high standards from the start and prevent expensive mistakes.