sicmutils VS Genie.jl

They seem to be in the middle of transitioning from the old repo.

There are some good resources here including some nicely formatted HTML versions of the book: https://github.com/sicmutils/sicmutils/wiki/SICM-and-FDG-Lea...

^ The Github repo contains a Clojure version of the Scheme library used by the book.

If you want to try this out, give the sicmutils Computer Algebra System a go (I’m the maintainer). Repo lives here: https://github.com/sicmutils/sicmutils

The library works in the browser as well, so interactive TeX rendering from Clojure symbolic expressions and functions is available at the quickstart page here: https://nextjournal.com/try/samritchie/sicmutils

I am the maintainer of the "sicmutils" computer algebra system in Clojure, and I think that you'll find it very nice for your project: https://github.com/sicmutils/sicmutils

https://github.com/sicmutils/sicmutils is a really interesting development in the direction(s) you stated in b. Since terms can be rendered in various ways (latex, js, etc.), they can be embedded in documents, web pages, etc. You can go from symbolic expressions to animated dynamic systems with relevant formulae.

- multiple stories about the same piece of code, but all with the ability to IMPORT the story as a library

I've been writing sicmutils[0] as a "literate library"; see the automatic differentiation implementation as an example[1].

A talk I gave yesterday at ELS demos a much more powerful host that uses Nextjournal's Clerk to power physics animations, TeX rendering etc, but all derived from a piece of Clojure source that you can pull in as a library, ignoring all of these presentation effects.

Code should perform itself, and it would be great if when people thought "LP" they imagined the full range of media through which that performance could happen.

[0] sicmutils: https://github.com/sicmutils/sicmutils

[1] autodiff namespace: https://github.com/sicmutils/sicmutils/blob/main/src/sicmuti...

[2] Talk code: https://github.com/sritchie/programming-2022

[3] Clerk: https://github.com/nextjournal/clerk

Hey, so fun to see this here! These demos feature work from https://github.com/sicmutils/sicmutils and the newly maintained-by-me Mathbox library.

I’m around and happy to answer any questions about the library, future plans, etc.

Give my SICMUtils computer algebra system a look as well, if you like Lisp / Clojure: https://github.com/sicmutils/sicmutils

Works on the web too, which is a big boost for sharing work.

It is good enough! Almost all code forms from the book live in the tests (see the FDG directory[0], for example), and there are a few nice environments like Nextjournal[1] where everything from the books works in the browser.

The Clojure port is quite fast, faster than the original for all benchmarks GJS has sent me, and more fleshed out. (That will change, as I've been pushing bugfixes and performance improvements back upstream as I go, as a meager gift to GJS for making this huge, amazing library in the first place.)

I actually wrote to GJS this morning asking for instructions on how to compile the original "scmutils", since I have the same problem. He responded saying he'll get back to me this afternoon, so I'll post here once I have details.

If you are still interested in getting the books going with MIT-Scheme, I put a decent amount of work into the exercises using the original codebase here[2], including a dockerized version of mit-scheme[3] and the scmutils package[4] that might be useful.

- [0] https://github.com/sicmutils/sicmutils/tree/main/test/sicmut...

- [1] https://nextjournal.com/try/samritchie/sicmutils/

- [2] https://github.com/sicmutils/sicm-exercises

- [3] https://hub.docker.com/r/sritchie/mit-scheme

- [4] https://hub.docker.com/r/sritchie/mechanics

Julia seems to be doing a better job catching up to R in this space than Python. I haven't used it personally, but the demos of Genie Framework are impressive: https://github.com/GenieFramework/Genie.jl / https://genieframework.com/

Hi everyone! I’m Adrian, co-founder of Genie Cloud. Genie Cloud is the no-code platform to quickly build & deploy Julia web apps. It is designed for R&D and data science teams using Julia, who need to share their work with interactive web apps.

Genie Cloud is very simple: import (or write) the Julia code, build the GUI with the drag & drop editor, and deploy the apps in one-click. No frontend code, server stack or hosting to worry about. With Genie Cloud you can build anything, from interactive dashboards to ML demos to production-grade apps.

Genie Cloud is built on top of the open source Genie Framework (https://genieframework.com/), the most popular Julia web framework (I’m also the creator and maintainer of Genie Framework).

At the moment we are in private beta. You can learn more and sign up to get access here: https://www.geniecloud.io/. Looking forward to your thoughts and questions!

I used Julia through my PhD but then started working at a consulting company and had to use Python except for few proof of concepts I built in Julia. Luckily for me, now I'm working at Genie so I finally get to use Julia professionally :)

Have you checked https://genieframework.com/? It's the most popular web dev framework in Julia.

Hi! Genie Builder is a free VSCode plugin that makes it easy to build web GUIs for Julia applications (and in future, Python apps too). Users can simply drag & drop UI elements to create interactive dashboards and data apps, without writing any frontend code.

The tool is designed for data scientists and researchers who need to expose their data models to business users with an interactive web application, but lack the software development skills to build one.

Genie Builder completely eliminates the need to learn frontend development to code the UI. And very soon, we’re also going to support one-click cloud deployments to make it easy to build AND deploy data apps - no frontend nor devops skills required.

I’m Adrian, the creator of the open-source Genie web framework ([https://genieframework.com/](https://genieframework.com/)). Genie offers low-code libraries for building data applications - just like Streamlit or Dash, but for JuliaLang. We developed Genie Builder because of feedback from our open source community who needs more productive data tooling.

Yep, I'm a PHP dev and often do simple JS/jQuery to support my backend code. I have a very general interest in data science and embedded programming, meaning one day I might start doing something with them, but for now, I'm interested in those languages for web development. The following frameworks were especially interesting

Go: https://github.com/gin-gonic/gin

Rust: https://rocket.rs/

Julia: https://genieframework.com/

Check Genie. They're working on an app builder called Genie Cloud.