fastverse
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R (by fastverse)
aorsf
Accelerated Oblique Random Survival Forests (by ropensci)
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| fastverse | aorsf | |
|---|---|---|
| 3 | 1 | |
| 213 | 31 | |
| 1.9% | - | |
| 6.8 | 9.5 | |
| 18 days ago | 10 days ago | |
| R | R | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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.
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.
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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
aorsf
Posts with mentions or reviews of aorsf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-30.
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Peer-Reviewing Statistical R Packages
aorsf: Accelerated Oblique Random Survival Forests, by Byron Jaeger, Nicholas Pajewski, and Sawyer Welden, reviewed by Lukas Burk, Marvin N. Wright, edited by Toby Dylan Hocking
What are some alternatives?
When comparing fastverse and aorsf you can also consider the following projects:
targets - Function-oriented Make-like declarative workflows for R
melt - Multiple empirical likelihood tests
collapse - Advanced and Fast Data Transformation in R
canaper - Categorical Anaysis of Neo- and Paleo-endemism in R
engsoccerdata - English and European soccer results 1871-2022
tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
MODIStsp - An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
awesome-R - A curated list of awesome R packages, frameworks and software.