targets-tutorial VS trackdown

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

trackdown

R package for collaborative writing and editing of R Markdown (or Sweave) documents in Google Docs. (by ClaudioZandonella)
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targets-tutorial trackdown
1 2
94 211
- -
4.0 4.8
6 months ago 12 months ago
R HTML
GNU General Public License v3.0 or later 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.

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.

trackdown

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

What are some alternatives?

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

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

qcoder - Lightweight package to do qualitative coding

tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!

surveydown - An attempt to build a markdown-based survey platform using Quarto & Shiny

timevis - 📅 Create interactive timeline visualizations in R

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

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

shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds

drat - Drat R Archive Template

lumberjack - Track changes in data with ease

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