Plumber allows you to create a web API by merely decorating your existing R source code with special comments. Take a look at an example.
# plumber.R #* Echo back the input #* @param msg The message to echo #* @get /echo function(msg="") { list(msg = paste0("The message is: '", msg, "'")) } #* Plot a histogram #* @png #* @get /plot function() { rand <- rnorm(100) hist(rand) } #* Return the sum of two numbers #* @param a The first number to add #* @param b The second number to add #* @post /sum function(a, b) { as.numeric(a) + as.numeric(b) }
These comments allow plumber
to make your R functions available as API endpoints. You can use either #*
as the prefix or #'
, but we recommend the former since #'
will collide with Roxygen.
library(plumber) # 'plumber.R' is the location of the file shown above pr("plumber.R") %>% pr_run(port=8000)
You can visit this URL using a browser or a terminal to run your R function and get the results. For instance http://localhost:8000/plot
will show you a histogram, and http://localhost:8000/echo?msg=hello
will echo back the ‘hello’ message you provided.
Here we’re using curl
via a Mac/Linux terminal.
$ curl "http://localhost:8000/echo"
{"msg":["The message is: ''"]}
$ curl "http://localhost:8000/echo?msg=hello"
{"msg":["The message is: 'hello'"]}
As you might have guessed, the request’s query string parameters are forwarded to the R function as arguments (as character strings).
$ curl --data "a=4&b=3" "http://localhost:8000/sum"
[7]
You can also send your data as JSON:
$ curl --data '{"a":4, "b":5}' http://localhost:8000/sum
[9]
You can install the latest stable version from CRAN using the following command:
install.packages("plumber")
If you want to try out the latest development version, you can install it from GitHub.
remotes::install_github("rstudio/plumber") library(plumber)
If you’re just getting started with hosting cloud servers, the DigitalOcean integration included in plumber
will be the best way to get started. You’ll be able to get a server hosting your custom API in just two R commands. To deploy to DigitalOcean, check out the plumber
companion package plumberDeploy
.
RStudio Connect is a commercial publishing platform that enables R developers to easily publish a variety of R content types, including Plumber APIs. Additional documentation is available at https://www.rplumber.io/articles/hosting.html#rstudio-connect-1.
A couple of other approaches to hosting plumber are also made available:
Docker - https://www.rplumber.io/articles/hosting.html#docker-basic-
OpenCPU - A server designed for hosting R APIs with an eye towards scientific research.
jug - (development discontinued) an R package similar to Plumber but uses a more programmatic approach to constructing the API.