gittargets
drake
gittargets | drake | |
---|---|---|
1 | 1 | |
81 | 1,329 | |
- | 0.0% | |
4.7 | 6.1 | |
5 months ago | 2 months ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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
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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
drake
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Your impression of {targets}? (r package)
The targets package is the official successor to Drake, and has the same primary author (Will Landau). He has explained why he created targets, which includes stronger guardrails for users and better UX.
What are some alternatives?
deps - Dependency Management with roxygen-style Comments
targets - Function-oriented Make-like declarative workflows for R
lumberjack - Track changes in data with ease
easystats - :milky_way: The R easystats-project
tabulapdf - Bindings for Tabula PDF Table Extractor Library
ncaahoopR - An R package for working with NCAA Basketball Play-by-Play Data
fiery - A flexible and lightweight web server
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
droll - An R package to analyze roll distributions
disk.frame - Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data
tidyverse - Easily install and load packages from the tidyverse
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R