design VS wesanderson

Compare design vs wesanderson and see what are their differences.

design

Tidyverse design principles (by tidyverse)

wesanderson

A Wes Anderson color palette for R (by karthik)
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design wesanderson
2 4
136 1,646
5.1% -
0.0 1.3
about 1 month ago 3 months ago
R R
GNU General Public License v3.0 or later 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.

design

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

We haven't tracked posts mentioning design yet.
Tracking mentions began in Dec 2020.

wesanderson

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

We haven't tracked posts mentioning wesanderson yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing design and wesanderson you can also consider the following projects:

worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob

llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R

quanteda - An R package for the Quantitative Analysis of Textual Data

tidyr - Tidy Messy Data

sjPlot - sjPlot - Data Visualization for Statistics in Social Science

chess - An R package to read, write, create and explore chess games

tyecon - Assembling functions and results with ease

R-Fundamentals - D-Lab's 12 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.