ncaahoopR VS fflr

Compare ncaahoopR vs fflr and see what are their differences.

ncaahoopR

An R package for working with NCAA Basketball Play-by-Play Data (by lbenz730)

fflr

Get ESPN fantasy football data in R (by k5cents)
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ncaahoopR fflr
2 2
194 19
- -
6.9 7.3
about 2 months ago about 1 month ago
R R
MIT License GNU General Public License v3.0 only
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.

ncaahoopR

Posts with mentions or reviews of ncaahoopR. We have used some of these posts to build our list of alternatives and similar projects.

fflr

Posts with mentions or reviews of fflr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-18.

What are some alternatives?

When comparing ncaahoopR and fflr you can also consider the following projects:

hoopR - An R package to quickly obtain clean and tidy men's basketball play by play data.

yahoo-fantasy-sports-api - NodeJS wrapper for the Yahoo! Fantasy Sports API

drake - An R-focused pipeline toolkit for reproducibility and high-performance computing

ffscrapr - R API Client for Fantasy Football League Platforms

gganimate - A Grammar of Animated Graphics

fplscrapR - This package enables those interested in Fantasy Premier League to perform detailed data analysis of the game, using the FPL's JSON API. The fplscrapR functions help R users collect and parse data from the Official Fantasy Premier League website.

remotes - Install R packages from GitHub, GitLab, Bitbucket, git, svn repositories, URLs

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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