DataScienceR vs rlang

DataScienceR

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

Source Code

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rlang

Low-level API for programming with R (by r-lib)

Source Code

rlang.r-lib.org

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DataScienceR		rlang
	Project
1	Mentions	2
1,959	Stars	479
-	Growth	1.9%
0.0	Activity	7.1
about 1 year ago	Latest Commit	11 days ago
R	Language	R
MIT License	License	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.

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.

Python vs Matlab vs R
4 projects | /r/GradSchool | 12 Feb 2022

rlang

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

Any responses to this article titled "Why R is the new Perl"? I personally had some responses to a few of the points and the overall message, but I was curious as to how others thought.
1 project | /r/rstats | 11 Feb 2023

Granted, but these weird filenames are admittedly a very common solution, including in fairly high-profile packages from R experts (here’s ‘rlang’).
Base R functionality vs purrr from tidyverse
1 project | /r/rstats | 17 Aug 2022

Frankly, I haven't ever needed purrr. If I want to use purrr's interface, I just grab the "compat-purrr" from rlang. There are some functions that require rlang internals, but unless you care about tidyverse closure syntax (e.g. ~ .x^2) you can rewrite everything in base R.

What are some alternatives?

When comparing DataScienceR and rlang you can also consider the following projects:

badger - Badge for R Package

awesome-R - A curated list of awesome R packages, frameworks and software.

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

ggplot2 - An implementation of the Grammar of Graphics in R

design - Tidyverse design principles

rmarkdown - Dynamic Documents for R

lab02_R_intro - Vežbe 2: Uvod u R

dplyr - dplyr: A grammar of data manipulation

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

r4ds - R for data science: a book

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.

seminr - Natural feeling domain-specific language for building structural equation models in R for estimation by covariance-based methods (like LISREL/Lavaan) or partial least squares (like SmartPLS)