rang VS targets-minimal

Compare rang vs targets-minimal and see what are their differences.

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rang targets-minimal
1 1
69 56
- -
8.3 0.0
5 months ago about 2 years 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.

rang

Posts with mentions or reviews of rang. We have used some of these posts to build our list of alternatives and similar projects.
  • 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
    1 project | /r/rstats | 13 Mar 2023
    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

targets-minimal

Posts with mentions or reviews of targets-minimal. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing rang and targets-minimal you can also consider the following projects:

workflowr - Organize your project into a research website

bruceR - 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

targets-tutorial - Short course on the targets R package

deps - Dependency Management with roxygen-style Comments

targets - Function-oriented Make-like declarative workflows for R