29 years of #rstats community knowledge was sitting in hard-to-search pipermail archives. So I built a more modern home for it.

Introducing the R Mailing List Archives: 631,000+ messages from 32 lists, fully searchable and available as open data.

https://r-mailing-lists.thecoatlessprofessor.com/

Every message is parsed, threaded, and indexed. You can browse threads, see who replied to whom, and actually follow conversations that shaped the language.

Here's a recent R-SIG-Mac thread about macOS 26:

https://r-mailing-lists.thecoatlessprofessor.com/lists/r-sig-mac/msg/msg-0b1a4d0c59cf/

Want to do your own analysis? The full archive is available as Apache Parquet files, updated nightly via GitHub Actions.

One-liner to load any list in R or Python. No cloning required.

https://github.com/r-mailing-lists/data

If you've ever wished you could grep through R-help, find that one Brian Ripley reply about CRAN policy from 2009, or just see who the top contributors to R-SIG-Finance were... now you can.

Blog post with all the details: https://blog.thecoatlessprofessor.com/posts/r-mailing-list-archives/

Preserving 29 Years of R Community Knowledge – TheCoatlessProfessor

@coatless this is fantastic! It's great to see that all of the mailing lists, including some of the really obscure ones, are here!

Incidentally, the AI ads are _terrifying_