rang VS targets-tutorial

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

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rang targets-tutorial
1 1
69 94
- -
8.3 4.0
5 months ago 6 months 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.
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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-tutorial

Posts with mentions or reviews of targets-tutorial. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-15.

What are some alternatives?

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

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

tweetbotornot2 - πŸ”πŸ¦πŸ€– Detect Twitter Bots!

timevis - πŸ“… Create interactive timeline visualizations in R

groundhog - Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages

shinyjs - πŸ’‘ Easily improve the user experience of your Shiny apps in seconds

lumberjack - Track changes in data with ease

targets-minimal - A minimal example data analysis project with the targets R package

deps - Dependency Management with roxygen-style Comments

drake - An R-focused pipeline toolkit for reproducibility and high-performance computing

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

trackdown - R package for collaborative writing and editing of R Markdown (or Sweave) documents in Google Docs.