hal9ai VS Fennel

We are not using libfortran not gdpr, we are basically using whatever libraries are available for the web. Since most data scientists don't want to use JS per se, you can build the apps as blocks in the Hal9 site or using a soon-to-be-released Python/R package, see https://notebooks.hal9.com

Feel free to check out our repo as well, all the "primitives" / blocks code is in the scripts folder: https://github.com/hal9ai/hal9ai

https://hal9.com helps data scientists build faster web applications.

It uses WebGL and WebAssembly to process larger datasets, perform inference in the browser with TensorFlow.js, and enables running Python code with Pyodide.

If you want to build a web application on top of your ML project, give https://hal9.com a shot. We designed Hal9 with ease of use for deployment and maximum compatibility with web technologies that enable you to build ML apps with React, Vue, etc. We launched a couple months ago but could use some early feedback and users. Thank you!

BTW. If you are ever interested in helping us out, you can send a PR's to our GitHub repo. For instance, the summarize and convert blocks are here: https://github.com/hal9ai/hal9ai/blob/main/scripts/transforms/summarize.txt.js and https://github.com/hal9ai/hal9ai/blob/main/scripts/transforms/convert.txt.js

We are working in https://hal9.com which is language agnostic and allows you to compose different programming languages; however, we are focused at the moment at 1D-graphs but have plans to support 2D-graphs in the coming weeks.

If you want a demo or just time to chat, I'm available at javier at hal9.ai.

We would love to help out since this is a perfect use case for https://hal9.ai; we are about to release our beta version that makes this as easy as copy-pasting code. You can find me at javier at hal9.ai to find some time to chat and give you a walkthrough of our code-to-api functionality.

Hi there, would love to help you out. We are building a JavaScript + Python/R/AI service called https://hal9.ai to enable you to build React/Vue/Svelte/Angular apps against Python/R models. Want to send me an email to javier at hal9.ai to chat and help out?

Would love to hear your feedback for https://hal9.ai -- We are building an open source platform for data analysis based on reusable code blocks and a community to build and monetize their contributions. We are pretty early in our journey, launched our alpha and getting ready for our beta release, but would love to hear your thoughts. You can find me at javier at hal9.ai. Cheers!

It's interesting: minimal software is out there, but folks don't tend to choose it. I spend a fair amount of time thinking about how to be conservative in my dependencies, and this encourages a lightweight stack that tends to perform pretty well. These days, I'm favoring tools like Lua, SQLite, Fennel[0], Althttpd[1], Fossil[2], and the Mako Server[3] and find that great, lightweight, stable, efficient software is to be had, for free, but you have to go a bit off the beaten path. This isn't stuff you hear about on Stack Overflow.

In terms of frontend, which the post focuses on (Google Docs and a 30MB doc), I guess I'm conflicted. While I tend to favor native apps + web pages, I'm also a daily Tiddlywiki user, and I really think web apps have their place (heck, one idea I'm working on is a lightweight local server that lets you run web apps like Tiddlywiki). But without a doubt, Tiddlywiki is more resource intensive than Emacs (my go-to for notetaking when I'm not on TW). My tab for a 6MB Tiddlywiki file uses 155MB of RAM, and my (heavily customized, dozens of open buffers) Emacs session uses 88MB. So I do think the author has a good point.

[0]: https://fennel-lang.org/

Eh it's not just luajit and luajit didn't create that problem either. It's a symptom of lua actually succeeding at its design goal of being easily embedded as an extension language. A significant number of incompatible runtimes are more popular than the most recent puc lua, including I believe the older official lua 5.2 released in 2011.

I've done a fair bit of professional lua development and I don't think I've ever written standalone up-to-date puc lua except maybe for some tooling & scripts. It's such a small language and used in such a way that the runtime, distribution method, and available APIs have much more impact on your use (and compatibility) than the version.

Virtually everyone shipping a lua environment is also shipping changes to it that make it a unique target, if only extensions to the standard library. This is why I think syntax layer-only approach like fennel's is the correct choice for improving on lua. It mirrors lua's runtime semantics exactly, and allows you to access the implementation peculiars on their own terms and so can just be run on time of any lua system.

https://fennel-lang.org

Just learned about https://fennel-lang.org/ , could have probably used that as well to avoid Lua.

> I’m positive that there is a Lispy language out there (actually in existence, or the aether) that is appropriate for embedded work, but the constraints of the target make it difficult to envision.

Perhaps Fennel* fits the bill?

* https://fennel-lang.org/

I've also seen neovim plugins written in fennel [0], so if you want something lispy, that's possible now.

[0]: a Lisp that compiles to Lua, https://github.com/bakpakin/Fennel

Something similar: Fennel (https://fennel-lang.org/) is a lisp that compiles into Lua, which nvim can use as plugins, so you can write nvim plugins in a lisp. Aniseed (https://github.com/Olical/aniseed) makes this really easy.

If you want a more FP language on the Lua runtime, you might be interested in Fennel. I wrote a post about adding Fennel compiler to a hslua interpreter a while back, which might be useful for you.