workflowr VS projects

Compare workflowr vs projects and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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workflowr projects
2 2
807 6
0.9% -
5.4 3.6
2 months ago over 2 years ago
R Jupyter Notebook
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.

workflowr

Posts with mentions or reviews of workflowr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-17.

projects

Posts with mentions or reviews of projects. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-17.

What are some alternatives?

When comparing workflowr and projects you can also consider the following projects:

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

box - Write reusable, composable and modular R code

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

reprex - Render bits of R code for sharing, e.g., on GitHub or StackOverflow.

blogdown - Create Blogs and Websites with R Markdown

data-science-development-project-template - A logical, reasonably standardized, but flexible project structure for doing and sharing data science research work while developing a software tool.

webR-quarto-demos - Experiments with generating a standalone Quarto Document using Web R

namer - R package :package: for labelling chunks of RMarkdown files! :boom: