nflfastR VS nfl_data_py

Compare nflfastR vs nfl_data_py and see what are their differences.

nfl_data_py

Python code for working with NFL play by play data. (by nflverse)
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nflfastR nfl_data_py
7 2
393 220
2.0% 2.3%
8.1 7.2
6 days ago 4 months ago
R Python
GNU General Public License v3.0 or later MIT License
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.

nflfastR

Posts with mentions or reviews of nflfastR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-05.

nfl_data_py

Posts with mentions or reviews of nfl_data_py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-05.

What are some alternatives?

When comparing nflfastR and nfl_data_py you can also consider the following projects:

nfldata - NFL Data (by Lee Sharpe)

nflfastpy - Python package for loading nflfastR play by play data

nflverse-data - Automated nflverse data repository

shiny.i18n - Shiny applications internationalization made easy

nflscraPy - Datasets and Scraping Functions for NFL Data

parsel - parallel execution of RSelenium

rtypeform - An R interface to the 'typeform' API.

littler - A scripting and command-line front-end for GNU R

xlsx - An R package to interact with Excel files using the Apache POI java library

Peptides - An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.

randomNames - Function to generate random gender and ethnicity correct first and/or last names. Names are chosen proportionally based upon their probability of appearing in a large scale data base of real names.