pak
A fresh approach to package installation (by r-lib)
awesome-R
A curated list of awesome R packages, frameworks and software. (by qinwf)
Our great sponsors
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.
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.
pak
Posts with mentions or reviews of pak.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-15.
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Why is {dplyr} so huge, and are there any alternatives or a {dplyr} 'lite' that I can use for the basic mutate, group_by, summarize, etc?
For installation, check out pak https://github.com/r-lib/pak, it's able to install in parallel.
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.
- Good coding groups for black women?
- Where to learn R?
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Crantastic: What happened to it?
Won't cover newer ones, but Awesome R has a good list as does this site.
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Setup local development environment for R-yaml
First we looked for a project to play with. Checked the r projects, then looked at the awesome-R list and found r-yaml. We thought a library dealing with YAML files will be simple to install and test.
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WEBSITE WITH TEMPLATES
I can't really decipher what exactly do you want/mean but here you go: https://github.com/qinwf/awesome-R
- Python vs Matlab vs R
What are some alternatives?
When comparing pak and awesome-R you can also consider the following projects:
tidytable - Tidy interface to 'data.table'
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
poorman - A poor man's dependency free grammar of data manipulation
easystats - :milky_way: The R easystats-project
rmarkdown - Dynamic Documents for R
sf - Simple Features for R
RFI - R-Fortran Interface for Modern Fortran
lab02_R_intro - Vežbe 2: Uvod u R
r4ds - R for data science: a book
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