Author: Bruna Wundervald License: MIT

CRAN status CRAN downloads Rdoc Travis-CI Build Status

chorrrds: A package for music chorrrds extraction.

chorrrds is a package for R that scrapes the Cifraclub website to download and organize music chords. It can be considered a package for MIR (Music Information Retrieval), a broad area of computational music which extracts and processes music data, from the unstructured ones, as sound waves, to structured, like sheet music or chords.


You can install chorrrds from your favorite CRAN mirror, simply running:


You can also install the latest versios of chorrrds from the R-Music GitHub organization with:

# install.packages("devtools")


The package currently has as its main functions:

There are also some accessory objects and functions, that provides useful too use in combination with the music chords:

All of the functions and documentation can be found with:

help(package = "chorrrds")

To be implemented

Examples and Resources

A tutorial about how to extract & analyze the data with the chorrrds package is available at:


R for music data extraction and analysis

See the R-Music organization on GitHub for more R packages related to music data extraction and analysis. The R-Music blog provides package introductions and examples.


To cite this package in publications, please use:

Bruna Wundervald (2019). chorrrds: Music
Chords Extraction. R package version

A BibTeX entry for LaTeX users is

title = {chorrrds: Music Chords Extraction},
author = {Bruna Wundervald},
year = {2019},
note = {R package version 0.1.8},
url = {},

This citation format can be obtained at any moment in R with:



Contributions to this project are always highly incentivized. To do so, please be aware that git is our main tool for version control. The minimal steps for a contribution are:

  1. Fork this repository into your GitHub account and clone it the way you prefer.
  2. Do the changes, making sure everything is well documented, examples are provided and checking if the package still correctly builds.
  3. Push your changes to git and create a new pull request in GitHub, explaining why and what are the changes made.
  4. Done! Wait for review & acceptance of the pull request :)

To contributors who are new to writing R packages, we recommend the ‘R Packages’ book, by Hadley Wickham. To those who are new to git/GitHub, we recommend this tutorial. Many contributing resources to open source projects can be found at this repository.