FastBreakR is a fast and efficient R package for working with NBA data. With a robust set of core tools, the package is fully functional and continually evolving, with new features regularly added to enhance its capabilities.
Newly Added pbpstats API Wrapper
FastBreakR now includes a comprehensive wrapper for the popular pbpstats API, developed by Daryl Blackport. This wrapper provides easy access to every endpoint of the pbpstats API — including live game data, play-by-play, team stats, player stats, and more. FastBreakR is the only R package offering a complete pbpstats API wrapper covering all available endpoints.
See https://api.pbpstats.com/docs for more info.
Installation
You can install the development version of FastBreakR from GitHub with:
# install.packages("remotes")
remotes::install_github("JesseKartes/FastBreakR", quiet = TRUE)Core Features
- Speed and Efficiency: Optimized to process large data requests rapidly, FastBreakR includes built-in mechanisms like rate-limiting pauses to ensure smooth operation while adhering to NBA API constraints.
- Data Consolidation: Seamlessly merges multiple statistical categories into a single, unified dataset while automatically eliminating duplicate columns, ensuring a cleaner and more organized output for analysis.
- Consistent and Tidy Naming: Column names are cleaned and standardized while staying consistent with NBA naming conventions.
- User-Friendly Design: Functions are intuitive, making it easy to fetch and manipulate data.
Example
This is a basic example which shows you how to get scores for the 2024-2025 season:
library(FastBreakR)
scores <- nba_scores(2025, season_type = "Regular Season")
#> Fetching season 2025 (1/1)Documentation
Full Documentation: https://jessekartes.github.io/FastBreakR/reference/index.html
For any questions, suggestions, or issues, feel free to open an issue on GitHub.