talk VS jupyter-book

i have no idea if its electron based but check this out → Nota - Pro notes app designed for local Markdown files.

I've started using it in combination with Nota, which I recently replaced Obsidian with. I use this for my collection of academic notes, which I prefer to keep local-first. Nota looks much nicer, and is much more suited to handling a large collection. Obsidian has far more features, but I don't need most of them anyway, and hopefully Nota will continue to evolve.

Our other product Nota is also free for users who can't afford it. One of our goals is to make it free for those who can't afford it. However, we also should pay our bills. I can promise you that if we earn enough from a product we will make it more and more affordable for users — we don't aim for big earnings.

We've been building macOS apps for the past 8 years. Our main app is Nota.

Nota (Mac, iOS) (beta)

main-thread-scheduling is a 3kb library that can make your app responsive and fast in just a single line of code. Nota uses it for its super fast search and Flux.ai uses it for their advanced 3D circuits editor. Also, it doesn't have any competition. Usage:

I'm the founder of a beautiful Markdown editor. Actually two:

Nota - https://nota.md. It's a notes app but a lot of our users use it as a markdown editor. Nota is quite powerful as a markdown editor. It has a lot of smartness built into it.

Caret - https://caret.io. We started with this - a beautiful Markdown editor. We aren't implementing new features for it but if you are on Windows or Linux it might be worth trying out. We still have new users coming in.

A common feature of the two is that they both are pleasant to use. We've put a lot of hard work in the UX (which is also hard to market and one of the reasons why you probably haven't heard about us).

Sphinx supports ReStructuredText and Markdown.

MyST-Markdown supports MathJaX and Sphinx roles and directives. https://myst-parser.readthedocs.io/en/latest/

jupyter-book supports ReStructuredText, Jupyter Notebooks, and MyST-Markdown documents:

You can build Sphinx and Jupyter-Book projects with the ReadTheDocs container, which already has LaTeX installed: https://github.com/executablebooks/jupyter-book/issues/991

myst-templates/plain_latex_book:

your task is very very broad

you mention you don't want to deal with AWS, if it's because of ad-hoc installation concerns and nothing else you can just run your notebooks in ready-made solutions like Google Colab, or Jupyter-book in Github ( https://github.com/executablebooks/jupyter-book ))

that would cover a lot of use cases right away without next to no learning curve

If you don't want to deal with AWS or similar, in that case:

- if it's a static notebook then you can obviously render it and serve the web content (might seem obvious but needs to be considered)

- if it's dynamic but has light hardware requirements, you can try jupyterlite which runs in the browser and should do a pyodine (webassembly CPython kernel) can do: https://jupyterlite.readthedocs.io/en/latest/try/lab/

- otherwise, you can try exposing a dockerised jupyter env ( as in https://github.com/MKAbuMattar/dockerized-jupyter-notebook/b... ) or even better a nixified one ( https://github.com/tweag/jupyenv )

there might be other approaches I'm missing, but I think that's pretty much it that doesn't entail some proprietary solution or an ad-hoc installation as you've been doing

Note: If you want to present a cleaner version of the notebook without assertions, you can use Jupyter book to render it into a site and use the remove-cell tag to omit assertions from the output.

See this thread for example.

And maybe take a look at executablebooks/jupyter-book.

Our team has transferred from Sphinx for documentation to JupyterBook. There have been some growing pains with it but I prefer the look of the output and being able to play with the examples on Colab or Binder at the click of a button is a great feature.