
Quarto and Jupyter Notebooks
Combine iterative experimentation and reporting with visually appealing, business-friendly formats
We create, maintain, and develop Shiny applications for enterprise customers all over the world. Appsilon provides scalability, security, and modern UI/UX with custom R packages that native Shiny apps do not provide. Our team is among the world’s foremost experts in R Shiny and has made a variety of Shiny innovations over the years. Appsilon is a proud Posit (RStudio) Full Service Certified Partner.
As a Posit Full Service Certified Partner, we can deploy your data products with Posit Server Pro (RStudio Server Pro), Posit Connect (RStudio Connect), or Posit Package Manager (RStudio Package Manager). Overall, we have the expertise and ability to assist all project stages with advanced decision support systems and ongoing support for servers and infrastructure.
Appsilon's development process is unique in our combination of unmatched rapid development and the high code quality of the solutions we deliver. As a result, we deliver world-class Shiny applications faster than other vendors. Ultimately, lowering the overall cost of development and improving time to deployment. We use continuous collaboration with clients, end-to-end testing, and automated processes to streamline the development process. Our team can step in at every phase of a Shiny project, starting from business analysis and data science consulting to code refactoring.
We've also created our own packages that make R Shiny apps more beautiful, dynamic, and secure. Our packages have been downloaded 50,000+ times and have 1600+ stars on GitHub. We develop and scale Shiny apps for enterprise customers that are capable of thousands of simultaneous users and can operate on a distributed infrastructure.
Rhino
data.validator
shiny.fluent
shiny.react
shiny.i18n
shiny.info
shiny.router
shiny.semantic
shiny.worker
Combine iterative experimentation and reporting with visually appealing, business-friendly formats
Want to track user sessions in R Shiny free of charge? Try R shinyHeatmap, an excellent alternative to Hotjar.
Use Quarto - a powerful tool for creating reports - in Visual Studio Code together with Python