Lewin Appleton-Fox

`levitate` is based on the Python `thefuzz` (formerly fuzzywuzzy) package for fuzzy string matching. An R port of this already exists, but unlike `fuzzywuzzyR`, levitate is written entirely in R with no external dependencies on `reticulate` or Python. It also offers a couple of extra bells and whistles in the form of vectorized functions.

`icecream` is designed to make print debugging easier. It allows you to print out an expression, its value, and (optionally) which function and file the call originated in.

This is an R port of github.com/gruns/icecream.

`foodwebr` makes it easy to visualize the dependency graph of a set of functions (i.e., who calls who). This can be useful for exploring an unfamiliar codebase or reminding yourself of what you wrote ten minutes ago!

The goal of `lambdar` is to make it easy to run R on AWS Lambda. AWS doesn’t provide support for R out of the box but allows you to provide a custom runtime in a container image or Lambda layers. Lambdar provides:

• An R runtime (thanks to github.com/mdneuzerling/r-on-lambda).
• Tools to build, test and deploy Docker containers containing your code.

The process is simple. You write your code as usual, decorate your Lambda function with a roxygen-style `@lambda` tag, and `lambdar` does the rest. It’s designed to drop on top of your existing work with almost no changes to your code.