dplyr VS worldfootballR

Compare dplyr vs worldfootballR and see what are their differences.

worldfootballR

A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob (by JaseZiv)
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dplyr worldfootballR
40 7
4,670 417
0.8% -
7.1 8.5
4 days ago 12 days ago
R R
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dplyr

Posts with mentions or reviews of dplyr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-15.

worldfootballR

Posts with mentions or reviews of worldfootballR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-12.

What are some alternatives?

When comparing dplyr and worldfootballR you can also consider the following projects:

Rustler - Safe Rust bridge for creating Erlang NIF functions

blogdown - Create Blogs and Websites with R Markdown

ggplot2 - An implementation of the Grammar of Graphics in R

nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir

wesanderson - A Wes Anderson color palette for R

explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir

epanet2toolkit - An R package for calling the Epanet software for simulation of piping networks.

rmarkdown - Dynamic Documents for R

soccerdata - ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

DontBlameTheData - Repository for the backend of dontblamethedata.com