R-sharp
R# language is a kind of R liked vectorized language implements on .NET environment for the bioinformatics data analysis (by rsharp-lang)
future
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone (by HenrikBengtsson)
| R-sharp | future | |
|---|---|---|
| 1 | 2 | |
| 24 | 933 | |
| - | - | |
| 9.9 | 8.1 | |
| 1 day ago | 22 days ago | |
| Visual Basic .NET | R | |
| GNU General Public License v3.0 only | - |
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.
R-sharp
Posts with mentions or reviews of R-sharp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-28.
-
Microsoft is to enable Rust use for Windows 11 kernel
Funnily enough already exists, though its not Rust.
future
Posts with mentions or reviews of future.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Running Code in Parallel
Check out the future package: https://github.com/HenrikBengtsson/future
-
What's faster: run simultaneously on multiple terminals, or run everything sequentially on one terminal?
If you're a fan of the tidyverse check out the furrr package, which is based on the future package. Let's you apply your map() functions in parallel very easily.
What are some alternatives?
When comparing R-sharp and future you can also consider the following projects:
h5cpp - C++17 templates between [stl::vector | armadillo | eigen3 | ublas | blitz++] and HDF5 datasets
seurat - R toolkit for single cell genomics