gittargets
Data version control for reproducible analysis pipelines in R with {targets}. (by ropensci)
deps
Dependency Management with roxygen-style Comments (by analythium)
gittargets | deps | |
---|---|---|
1 | 1 | |
81 | 30 | |
- | - | |
4.7 | 6.4 | |
5 months ago | 6 months ago | |
R | R | |
GNU General Public License v3.0 or later | 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.
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.
gittargets
Posts with mentions or reviews of gittargets.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Feedback needed: building Git for data that commits only diffs (for storage efficiency on large repositories), even without full checkouts of the datasets
This is was attempted in an R package called gittargets
deps
Posts with mentions or reviews of deps.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-11.
-
Manage Dependencies with the deps R Package for Docker Containers
The following example is part of the deps package examples. We will use a Shiny app that we have used before to draw a 3D surface for a bivariate Normal distribution.
What are some alternatives?
When comparing gittargets and deps you can also consider the following projects:
lumberjack - Track changes in data with ease
rspm - RStudio Package Manager
capsule - An inversion of renv for low effort reproducible R package libraries
reprex - Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
targets-minimal - A minimal example data analysis project with the targets R package
targets - Function-oriented Make-like declarative workflows for R
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
targets-tutorial - Short course on the targets R package