We are excited to invite you to the Appsilon Tiny Shiny Hackathon, a four-hour online challenge where developers can showcase their creativity and technical skills by building applications that combine Shiny and AI. ShinyConf 2025 is coming—are you ready? Join us for an exciting event filled with insights, innovation, and ...

At Appsilon, we’ve been integrating Large Language Models into Shiny for Python applications for a while now. One thing became clear: the challenge isn’t in the initial integration. Shiny for Python’s ui.Chat component makes that straightforward. The real complexity lies in building applications that can evolve ...

Data never stays in one place for long. Any business or team that works with data needs to be thinking about how data moves from one place to the next. This often happens multiple times, continuously, and in multiple different streams. The conce...

In the past, many organizations relied on static file reports to make decisions. Typically, several Excel and PowerPoint reports are generated each month. Management would gather, discuss results, decide, and move to email other systems or meet with their teams to pass these decisions forward. There are multiple problems with ...

Customizing the {riskassessment} App based on your organization’s needs makes validating R packages in regulated industries like pharma more efficient and compliant. Strict compliance rules and best practices mean organizations need a reliable way to assess and approve packages. The {riskassessment} App, built on {riskmetric}, provides a structured, user-friendly ...

This post reproduces Dr. Adam Bonica's analysis into the relationship between the ideological alignment of government agencies and the targeting of layoffs by the Department of Government Efficiency (DOGE).

ggplot2 is a powerful and well-known data visualization package for R. But do you know what gg stands for? It actually refers to the Grammar of Graphics, a conceptual framework for understanding and constructing graphs. The core idea behind the Gramm...

Introduction Do you have a R package that’s just on GitHub? How often do you check it? CRAN follows a rolling release model, so any day one of your package’s dependency packages could be updated - breaking your package! Or maybe you teach a...

Introduction When I’m switching projects I naturally start with Finder. I’m sure if I became a Terminal warrior there are faster ways of searching for files (e.g. the Television fuzzy finder TUI). And I know there are other ways to avoid u...

Recently, I've been using Python's __yfinance__ library to perform some simple portfolio analysis. Rather than using a Jupyter notebook to run the Python code and visualise the results, I thought it might be a nice idea to build a .NET desktop application using WinUI 3.0, XAML and C#. The application allows ...

This post is a first look at Nixtla’s TimeGPT generative, pre-trained transformer for time series forecasting using the nixtlar R package. As described in Garza et al. (2021), TimeGPT is a Transformer-based time series model with self-atten...

Introduction I regularly need to produce exercises/tutorials for my students. One fantastic feature of R Markdown is that it allows me to create one R Markdown document which can be rendered to both the question document and the solutions document. Thi...

Demo usage of tisthemachinelearner, in Python and R

The purpose of this blog is to maintain an ongoing list of publicly available data packages, data in packages or data sources that align to CDISC standards. My hope is that this could be a resource for: those intrepid individuals looking to s...