validate VS awesome-R

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

validate

Professional data validation for the R environment (by data-cleaning)

awesome-R

A curated list of awesome R packages, frameworks and software. (by qinwf)
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validate awesome-R
1 6
401 5,783
0.5% -
3.7 4.0
12 days ago 2 months 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.

validate

Posts with mentions or reviews of validate. We have used some of these posts to build our list of alternatives and similar projects.
  • How to verify your data?
    1 project | /r/Rlanguage | 21 Jan 2021
    To me it sounds as if you want to test your data in between steps or at the end. Two tools come to mind: https://docs.ropensci.org/assertr/ and https://github.com/data-cleaning/validate

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 validate and awesome-R you can also consider the following projects:

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

easystats - :milky_way: The R easystats-project

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

rmpk - Mixed Integer Linear and Quadratic Programming in R

mirt - Multidimensional item response theory

poorman - A poor man's dependency free grammar of data manipulation