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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.
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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.
riot
Posts with mentions or reviews of riot.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-01.
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Is c++ still the best performance companion language for R?
If it is matrix operations and linear algebra that you are planning to optimise, have a look at RcppArmadillo. I had some successes in using for some computational heavy algorithms, see them here: https://gitlab.com/zauster/riot/-/tree/master/src
What are some alternatives?
When comparing gifski and riot you can also consider the following projects:
extendr - R extension library for rust designed to be familiar to R users.