DataScienceR VS awesome-R

Compare DataScienceR vs awesome-R and see what are their differences.

DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning (by ujjwalkarn)

awesome-R

A curated list of awesome R packages, frameworks and software. (by qinwf)
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DataScienceR awesome-R
1 6
1,959 5,783
- -
0.0 4.0
about 1 year ago 2 months ago
R R
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.

DataScienceR

Posts with mentions or reviews of DataScienceR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-12.

awesome-R

Posts with mentions or reviews of awesome-R. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.

What are some alternatives?

When comparing DataScienceR and awesome-R you can also consider the following projects:

badger - Badge for R Package

fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps

aor - 🎄📦 Advent of R: Utility Functions for the Advent of Code in R

easystats - :milky_way: The R easystats-project

design - Tidyverse design principles

sf - Simple Features for R

lab02_R_intro - Vežbe 2: Uvod u R

awesome-computational-social-science - A list of awesome resources for Computational Social Science

viridis - Colorblind-Friendly Color Maps for R

R-Fundamentals - D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.

fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R