WebR – R in the Browser (docs.r-wasm.org)

Does it include a decent BLAS? If I remember correctly R ships with reference BLAS, but for decent performance you need something external. Wonder what they picked for wasm based R.

If you want to use it to create ggplot2 charts, here is an open source demo: https://github.com/QuesmaOrg/demo-webr-ggplot/

I created it as a side project from using WebR to execute code LLM-generated code (https://quesma.com/blog-detail/sandboxing-ai-generated-code-...). While we migrated away from it, I saw that WebR is cool, and I wanted to share it with you.

Does this also support Rmd?

That would be pretty cool if you could publish an rstudio notebook and have a flow to edit a copy of the notebook straight in the web.

Can you install it as a progressive web app, to work offline as well?

What does this mean in practice? Does this mean you could start with a blank .html file, and use html, css, and javascript (like normal), but then somehow run R too? e.g. to generate a ggplot using the browser (as opposed to server, as a shiny app may)?

Has anyone got a minimal reproducible examples (e.g. tiny html file that runs, say 2 * 2 in R)? The example linked to in the article has the key line <script type="module" src="repl.mjs"></script>, but that mjs file goes over my head.

Curious/eager/excited to know/see what kinds of real-world applications this has.

I really like R. I find it a nice language to work in. I'm glad to see projects like this that make it more accessible.

Cool but 12MB WASM blob. I wish there was a way of making these WASM builds significantly smaller.

Is there "Julia in the browser" that runs locally?

Here’s a ggplot2 example: https://webr.sh/#code=eJxtkLFOwzAQhsWapzh5ckSUpEgsSBkY2RAVrN...

Very useful, thanks

Jupyterlite-xeus compiles jupyterlab to WASM.

jupyterlite-xeus builds jupyterlite, Jupyter xeus kernels, and the specified dependencies to WASM with packages from conda-forge or emscripten-forge.

The jupyterlite-xeus docs say that the xeus-r kernel is already supported: https://github.com/jupyterlite/xeus

jupyter-xeus/xeus-r: https://github.com/jupyter-xeus/xeus-r

emscripten-forge/recipes already has packages for "r-askpass, r-base, r-base64enc, r-bit, r-bit64, r-cachem, r-cli, r-colorspace, r-data.table, r-digest, r-dplyr, r-ellipsis, r-fansi, r-farver, r-fastmap, r-ggrepel, r-glue, r-haven, r-hexbin, r-htmltools, r-isoband, r-jsonlite, r-later, r-lattice, r-lazyeval, r-magrittr, r-mass, r-matrix, r-mgcv, r-mime, r-nlme, r-plyr, r-promises, r-purrr, r-rcpp, r-readr, r-rlang, r-sp, r-stringi, r-sys, r-tibble, r-tidyr, r-tzdb, r-utf8, r-vctrs, r-vroom, r-xfun, r-yaml" in WASM: https://github.com/emscripten-forge/recipes/tree/main/recipe...

It looks like xeus-r and webr both compile with emscripten; for which there's emscripten-forge which is like conda-forge but for browser WASM.

eval_js()- allows R code to execute JavaScript and manipulate DOM elements - neat.