Rcpp now used by over 700 CRAN packages

[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

600 Rcpp packages

Earlier this morning, Rcpp reached another milestone: 701 packages on CRAN now depend on it (as measured by Depends, Imports and LinkingTo declarations). The graph is on the left depicts the growth of Rcpp usage over time.

Rcpp cleared 300 packages in November 2014. It passed 400 packages in June of last year (when I only tweeted about it), 500 packages in late October and 600 packages exactly four months ago in March. The chart extends to the very beginning via manually compiled data from CRANberries and checked with crandb. Then next part uses manually saved entries, and the final and largest part of the data set was generated semi-automatically via a short script appending updates to a small file-based backend. A list of packages using Rcpp is kept on this page.

Also displayed in the graph is the relative proportion of CRAN packages using Rcpp. The four per-cent hurdle was cleared just before useR! 2014 where I showed a similar graph (as two distinct graphs) in my invited talk. We passed five percent in December of 2014, six percent last July, seven percent just before Christmas and now criss-crosses 8 eight percent, or a little less than one in twelve R packages.

700 user packages is a really large and humbling number. This places quite some responsibility on us in the Rcpp team as we continue to try our best try to keep Rcpp as performant and reliable as it has been.

So with that a very big Thank You! to all users and contributors of Rcpp for help, suggestions, bug reports, documentation or, of course, code.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

To leave a comment for the author, please follow the link and comment on their blog: Thinking inside the box .

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)