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I've always liked the ggplot2 and the Grammar of Graphics approach to plotting so much so that I wrote my own DSL based on it - it is standalone, written in Rust, has WASM bindings (as you can see on the website) and more:

https://williamcotton.github.io/algraf

It pairs well with a related data translation DSL:

https://williamcotton.github.io/pdl

And you can see the two working together here:

https://williamcotton.github.io/datafarm-studio

There's LSPs for both, LSP clients for VS Code, and even language diagnostics for standalone Monaco editors in the browser.

Of note is that the same language diagnostics are exposed via the WASM as via the LSP interface allowing for the same friendly red squiggles to look and work the same in both your browser with Monaco and your editor with the LSP!

$ which ggplot ggplot () { if [[ "$1" == "-f" ]] then shift rush run --library tidyverse "$(cat "$1")" - else rush run --library tidyverse "$@" - fi } $ echo "one,two,three\n1,2,3\n4,5,6\n,7,8,9" | ggplot 'ggplot(df, aes(one, two)) + geom_col() + theme_minimal()' | imgcat

stared 6 hours ago [ - ]

A year ago, added R to the pipeline (with multiple complications) just to use ggplot2 - even though Python was the main tech.

https://quesma.com/blog/sandboxing-ai-generated-code-why-we-...

Good, that ggplot2 can run inside in WASM, vide https://github.com/QuesmaOrg/webr-ggplot-playground

williamcotton 4 hours ago [ - ]

A big part of the motivation was that something like this...

...is just very slow. Booting R just to run ggplot2 was not cutting it compared to a custom DSL written in Rust!

BTW, that "R on the command line" tool was inspired by:

https://datascienceatthecommandline.com

tmoertel 6 hours ago [ - ]

Nifty! What motivated you to create these tools?

williamcotton 6 hours ago [ - ]