JuliaConnectoR
drake
JuliaConnectoR | drake | |
---|---|---|
1 | 1 | |
96 | 1,330 | |
- | 0.1% | |
7.5 | 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 |
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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.
JuliaConnectoR
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Convert Random Forest from Julia to R
Awesome resource!! On my side, I found the opposite R package to use Julia directly in R (https://github.com/stefan-m-lenz/JuliaConnectoR). In your opinion, what would be the most efficient?
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?
RCall.jl - Call R from Julia
targets - Function-oriented Make-like declarative workflows for R
rtweet - 🐦 R client for interacting with Twitter's [stream and REST] APIs
easystats - :milky_way: The R easystats-project
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
tabulapdf - Bindings for Tabula PDF Table Extractor Library
rmarkdown - Dynamic Documents for R
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