ox-pandoc VS datasette

You can use the ox-pandoc library to export from Org Mode in Emacs to 65 different formats (at time of writing) including all the ones you mention.

For some formats that pandoc does not output, there are also specialised ox-format libraries.

There are even several exporters to Github-flavoured markdown. I personally find both ox-pandoc and ox-gfm very useful for that purpose.

https://github.com/kawabata/ox-pandoc

Orgmode's page about tools about import & export actually includes both to an entry about export to pandoc (ox-pandoc) as well as import from pandoc (org-pandoc-import).

You need to install some package for that; have a look at https://github.com/kawabata/ox-pandoc for example.

The ox-pandoc package is really useful (you need to have pandoc itself installed) and can export to epub using just the export function of org-mode itself. (That, in turn, is described thoroughly in the org manual.)

It's always nice to see someone from the humanities interested in Emacs. I suspect that you'll find the best experience by using Org mode + Pandoc. This will let you write in a rather nice plaintext environment, and then export that to a .docx file. I don't think the styling will be great (could well be wrong though), but it should work fairly well :) Importing (from .docx to .org) is likely to be less smooth, but still decent.

Can also export directly to word through pandoc as well; there's a package ox-pandoc, which lets you do just that, and you can even include a reference document in case you need to have custom styles added to it.

If you want an easy, bare bones PDF export that is not LaTeX and doesn't require a bunch of fiddling to make it not look an LaTeX article, using ox-pandoc with the "mspdf" export (using pdfroff as the pdf generator) is decent. It doesn't support embedded images, but is otherwise pretty robust.

Simon Willison's github would be a great place to get started imo -

https://github.com/simonw/datasette

I'm a fan on simonw's datasette/dogsheep ecosystem https://datasette.io/

I use Anki the exact same way. After a lifetime of learning I have accepted that I will never read over anything I write for myself voluntarily - so my two options are:

1. Write an article so good I can publish it and look it over myself later on. I did this last year with https://andrew-quinn.me/fzf/, for example.

2. Create Anki cards out of the material. Use the builtin Card Browser or even https://datasette.io/ on the underlying SQLite database in a pinch to search for my notes any time I have to.

Were you aware of, or tempted by https://datasette.io/ for creating your solution?

Browsing HN, GitHub and the like we get to see a huge variety of software products and code bases.

I often see products and think - if this product X, got together with Y, it would be pretty cool - kind of like if they had a kid together.

Not too literally, but more on the conceptual level - my level of programming is low.

E.g. Just some....

- pocketable.io & datasette (+with some more charting) [https://pocketbase.io, https://datasette.io]

You might like the Datasette project: https://datasette.io/

I don't think they are desperate for contributions but it's a welcoming environment and a fun project to hack on. You'll learn a lot just from reading the source and the incredibly informative PRs. The creator is a really talented developer with a great blog which shows up on the HN front page often.

Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.

> uploads of boring raw excel data and receive a nice UI

https://datasette.io/