awesome-R VS textclean

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

awesome-R

A curated list of awesome R packages, frameworks and software. (by qinwf)
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awesome-R textclean
6 1
5,780 234
- -
4.0 0.0
about 2 months ago over 2 years ago
R R
- -
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-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.

textclean

Posts with mentions or reviews of textclean. We have used some of these posts to build our list of alternatives and similar projects.
  • Working with text
    1 project | /r/rstats | 21 Dec 2020
    https://github.com/trinker/textclean - helps you do a bunch of processing to remove weird symbols, messed up encoding, a bunch more stuff im not aware of

What are some alternatives?

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

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

ggplot2 - An implementation of the Grammar of Graphics in R

easystats - :milky_way: The R easystats-project

dplyr - dplyr: A grammar of data manipulation

viridis - Colorblind-Friendly Color Maps for R

sf - Simple Features for R

lab02_R_intro - Vežbe 2: Uvod u 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.

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

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

rmpk - Mixed Integer Linear and Quadratic Programming in R