nbb VS dbcore

The SCI/babashka clojure interpreter might be a good fit, if you're ok with a lisp.

It's mature and fully sandboxed.

https://github.com/babashka/nbb

To try it out, run npx create-helix-app in your terminal. It is powered by Nbb, Ink, and Helix itself!

Thanks for building! May also want to share in #extension-news in discord to reach more users. Fwiw, you might be able to write the whole script without the need for compilation with https://github.com/babashka/nbb. You may also be interested in https://github.com/logseq/nbb-logseq as a fair amount of logseq core is scriptable

I wish there was something elaborated for scripts that run on Node. I've been using nbb[1] for scripting, and although it all runs through Node.js, it is fast and quick to prototype scripts. The best part is in CI I can simply `npx nbb path/to/script.cljs`. Things get clunky if I want to use anything about of the Node stdlib though, since then you need the dreaded node_modules folder around.

[1] https://github.com/babashka/nbb

For clojure I just found for babashka it seems someone natively compiled jsoup with graalvm and exposed (minimal functionality from it) as a babashka pod, or a possibility would be use nbb like babashka for node. But if racket has the libraries you need and you don't need js/jvm ecosystem than I'm sure it'll be great also

There are some folks using nbb on the backend as well: https://github.com/babashka/nbb, e.g. in AWS Lambdas or via the sitefox framework: https://github.com/chr15m/sitefox. Don't expect stellar performance from nbb since it's interpreted CLJS rather than compiled (as you have with shadow-cljs) but for small scoped projects and fast prototyping it might be ok.

https://github.com/babashka/nbb (babashka for nodejs)

I tried reproducing this example from the nbb documentation.

If you don't want to deal with the tooling but want to practice the language, have a look at https://github.com/babashka/nbb

Something already exists that reads your database schema and generates the entire CRUD backend . https://www.dbcore.org/

I've had good experiences running F# on Linux. I used it to build an API generator from database schemas.

Same as Go you can get a single static binary you can copy anywhere.

It's very convenient and you've got a massive number of .NET APIs to fall back on.

The language is a little complex though. That you cannot call interface methods on an object implementing the interface without explicitly casting to the interface [1] is pretty weird. And getters/setters are a little complex.

If you want an easy introduction to the ML family for educational/historic sake I'd always recommend Standard ML.

But if you want a highly pragmatic, mature, strictly typed, compiled cross-platform language F# is pretty compelling.

[0] https://github.com/eatonphil/dbcore

[1] https://docs.microsoft.com/en-us/dotnet/fsharp/language-refe...