Sapper VS datasette

I built my first simple blog site in 2020 using Svelte and Sapper. The blog posts were powered by markdown files stored in the repository, and it was a great starting point.

Sapper

pancake which has very scarce documentation and is in thorough experimentation(at the time of writing). Since it has been created by Rich Harris, you can rest assured that it might probably never get documentation or a stable release just like our fallen soldier sapper (a moment of silence in remembrance)

You might also want to check out Sapper, a framework built on Svelte that allows you to develop more advanced features like server-side rendering, offline support, and file-based routing.

Does this help https://github.com/sveltejs/sapper/issues/343

SvelteKit can be considered the successor to Sapper or NextJS for Svelte. It is packed with tons of cool features, like server side rendering, routing, and code splitting.

So after using Sapper for some time, I decided to move my website to SvelteKit. I remember saying that I would not move to SvelteKit till they hit version 1 but the framework looks too promising. It had features which I needed and those features weren't in Sapper.

By that time, we had some troubles with virtual dom itself in our custom rich text editor that we based on slate - it was getting a bit laggy when creating huge financial documents (they usually have enormous tables and a lot of infographics) -so we were already thinking about other options and that’s where svelte comes into the light - especially sapper which was de facto default framework to be used with svelte at that time (SvelteKit wasn’t even announced).

Sapper is a framework for building web applications of all sizes, with a beautiful development experience and flexible filesystem-based routing. It is the predecessor of Sveltekit.

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/

Don't overlook https://datasette.io/ even though it does much more than endpoints.