The SportsDataverse, in one command

The SportsDataverse spans a lot of ground — college football, men's and women's basketball, baseball, hockey, betting markets, and the tools to chart them. Rather than install each package one at a time, you can pull in the whole core set the way the tidyverse does: through an umbrella package.

The sportsdataverse meta-package

sportsdataverse is a lightweight meta-package modelled on the tidyverse and nflverse. Installing it brings in the core CRAN-published SportsDataverse packages, and a single library() call attaches them all:

# install the umbrella package from the SportsDataverse r-universe
install.packages(
  "sportsdataverse",
  repos = c("https://sportsdataverse.r-universe.dev", getOption("repos"))
)
 
library(sportsdataverse)
#> ── Attaching packages ──────────────── sportsdataverse ──
#> ✔ baseballr     ✔ oddsapiR
#> ✔ cfbfastR      ✔ sportyR
#> ✔ fastRhockey   ✔ wehoop
#> ✔ hoopR

It also ships a few quality-of-life helpers:

sportsdataverse_packages()   # what's in the SportsDataverse
sportsdataverse_update()     # check for updates (add devel = TRUE for r-universe builds)
sportsdataverse_sitrep()     # versions of R + every SportsDataverse package

The r-universe

Every SportsDataverse package — plus a number of community projects — is built continuously at sportsdataverse.r-universe.dev. r-universe gives you prebuilt binaries of the development versions without needing to compile from GitHub:

install.packages(
  "hoopR",
  repos = c("https://sportsdataverse.r-universe.dev", getOption("repos"))
)

You can point install.packages() at the r-universe for any one package, or set it as a repo for your whole session to stay on the bleeding edge.

Where to next

• R meta-package: r.sportsdataverse.org
• r-universe: sportsdataverse.r-universe.dev
• The organization: sportsdataverse.org
• Python: py.sportsdataverse.org  ·  Node.js: js.sportsdataverse.org