gifski
R wrapper for the 'gifski' Rust Cargo crate. (by r-rust)
JuliaCall
Embed Julia in R (by Non-Contradiction)
Our great sponsors
gifski | JuliaCall | |
---|---|---|
1 | 3 | |
73 | 260 | |
- | - | |
7.0 | 1.0 | |
3 months ago | 10 days ago | |
C | HTML | |
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.
gifski
Posts with mentions or reviews of gifski.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-01.
-
Is c++ still the best performance companion language for R?
Calling rust from R goes through the C abi, meaning you’ll probably still use a C wrapper like in this project, which makes building the package somewhat complicated. If you want to work with R SEXPs that’s also pretty complicated and Rcpp helps a lot with that. Rcpp will also help you convert R types back and forth.
JuliaCall
Posts with mentions or reviews of JuliaCall.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-01.
-
Is c++ still the best performance companion language for R?
I’ve had some joy with JuliaCall.
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[D] What's your favorite concept/rule/theorem in statistics and why?
We have an R interface to the Julia library, but it still requires Julia to be installed. It uses JuliaCall, and honestly you don't even need to use our R wrapper.
- Announcing RStudio 1.4
What are some alternatives?
When comparing gifski and JuliaCall you can also consider the following projects:
Julia-DataFrames-Tutorial - A tutorial on Julia DataFrames package
JuliaTutorials - Learn Julia via interactive tutorials!
Zygote-Mutating-Arrays-WorkAround.jl - A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.
extendr - R extension library for rust designed to be familiar to R users.