awesome-computational-social-science VS awesome-R

Compare awesome-computational-social-science vs awesome-R and see what are their differences.

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awesome-computational-social-science awesome-R
1 6
458 5,783
5.7% -
6.4 4.0
2 months ago 2 months ago
R R
Creative Commons Zero v1.0 Universal -
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.

awesome-computational-social-science

Posts with mentions or reviews of awesome-computational-social-science. We have used some of these posts to build our list of alternatives and similar projects.

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 awesome-computational-social-science and awesome-R you can also consider the following projects:

tidytext - Text mining using tidy tools :sparkles::page_facing_up::sparkles:

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

DataScienceR - a curated list of R tutorials for Data Science, NLP and Machine Learning

easystats - :milky_way: The R easystats-project

textfeatures - 👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

sf - Simple Features for R

lab02_R_intro - Vežbe 2: Uvod u R

viridis - Colorblind-Friendly Color Maps for R

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

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

GetOldTweets-R - A project written in R to get old tweets, it bypass some limitations of Twitter Official API.

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