Keywords: REST, API, web, http
Webpages:
https://CRAN.R-project.org/package=jug,
https://github.com/Bart6114/jug jug is a web framework for
R. The framework helps to easily set up API endpoints. Its main goal is to make building and configuration of web APIs as easy as possible, while still allowing in-depth control over HTTP request processing when needed.
A
jug instance allows one to expose solutions developed in R to the web or and/or applications communicating over HTTP. This way, other applications can gain access to, e.g. custom
R plotting functions or generate new predictions based on a trained machine learning model.
jug is build upon
httpuv. This results in a stable and robust back-end. Recently, endeavors have been made to allow a
jug instance to process requests in parallel. The GitHub repository includes a Dockerfile to ease productionisation and containerisation of a
jug instance.
During this talk, a tangible reproducible example of creating an API based on a machine learning model will be presented and some of the challenges and experiences in exposing R based results through an API will be discussed.
