rlang VS DataScienceR

Compare rlang vs DataScienceR and see what are their differences.

rlang

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

DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning (by ujjwalkarn)
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rlang DataScienceR
2 1
481 1,959
1.0% -
7.1 0.0
11 days ago about 1 year ago
R R
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.

rlang

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

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.

What are some alternatives?

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

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

badger - Badge for R Package

rmarkdown - Dynamic Documents for R

lab02_R_intro - Vežbe 2: Uvod u R

dplyr - dplyr: A grammar of data manipulation

design - Tidyverse design principles

r4ds - R for data science: a book

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)

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

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.