rang
drake
| rang | drake | |
|---|---|---|
| 1 | 1 | |
| 69 | 1,329 | |
| - | 0.0% | |
| 8.3 | 7.0 | |
| 5 months ago | 6 days ago | |
| R | R | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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.
rang
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I’ve ran every bundled example from R 0.6.0 up to R 4.2.2 on R 4.2.2, and most examples still run
You’re right, but you might need to at least be able to install the R version that was current at the time, because sometimes there are changes in base R as well. And installing an old version of R can be tricky, especially on Linux. But for these purposes, you could check out the newly released {rang} package: it makes it easy to build a Docker image with the right version of R and packages to run an older project: https://github.com/chainsawriot/rang
drake
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Your impression of {targets}? (r package)
The targets package is the official successor to Drake, and has the same primary author (Will Landau). He has explained why he created targets, which includes stronger guardrails for users and better UX.
What are some alternatives?
targets - Function-oriented Make-like declarative workflows for R
easystats - :milky_way: The R easystats-project
tabulapdf - Bindings for Tabula PDF Table Extractor Library
ncaahoopR - An R package for working with NCAA Basketball Play-by-Play Data
fiery - A flexible and lightweight web server
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
droll - An R package to analyze roll distributions
disk.frame - Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data
tidyverse - Easily install and load packages from the tidyverse
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
tinytex - A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live
ffscrapr - R API Client for Fantasy Football League Platforms