awesome-R
A curated list of awesome R packages, frameworks and software. (by qinwf)
fastverse
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R (by fastverse)
Our great sponsors
| awesome-R | fastverse | |
|---|---|---|
| 6 | 3 | |
| 5,781 | 213 | |
| - | 1.9% | |
| 4.0 | 6.8 | |
| about 2 months ago | 18 days ago | |
| R | R | |
| - | GNU General Public License v3.0 only |
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.
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?
-
Crantastic: What happened to it?
Won't cover newer ones, but Awesome R has a good list as does this site.
-
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.
-
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
fastverse
Posts with mentions or reviews of fastverse.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Looking for a book for better coding - preferably functional
For writing faster code, the first thing you want to try is making sure it's properly vectorised. See The R Inferno for this. Some problems are more difficult than others to vectorise. When vectorisation is impossible, you probably want to interface with C++. First, check if there's already a fast package that serves your needs. If your problem is too specific, consider writing your own C++ code with Rcpp.
-
Vectorized function VS Loops
I understand the sentiment and I'm not trying to convince you to start writing optimised code to save ~2ms. There's a ton of optimised tools that I don't use myself because the time benefit is immaterial for what I do.
- Fastverse High-Performance and Low-Dependency Package for Data Manipulation in R
What are some alternatives?
When comparing awesome-R and fastverse you can also consider the following projects:
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
targets - Function-oriented Make-like declarative workflows for R
easystats - :milky_way: The R easystats-project
collapse - Advanced and Fast Data Transformation in R
sf - Simple Features for R
engsoccerdata - English and European soccer results 1871-2022
lab02_R_intro - Vežbe 2: Uvod u R
tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!
viridis - Colorblind-Friendly Color Maps for R
MODIStsp - An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing