datasette.io VS Alpine.js

Opened an issue exploring alternatives here: https://github.com/simonw/datasette.io/issues/109

I decided to just drop "any size" but keep "any shape".

Here's an example from one of my projects: https://github.com/simonw/datasette.io/blob/main/.github/workflows/deploy.yml

I've come around to almost the opposite approach.

I pull all of the data I can get my hands on (from Twitter, GitHub, Swarm, Apple Health, Pocket, Apple Photos and more) into SQLite database tables that match the schema of the system that they are imported from.

For my own personal Dogsheep (https://simonwillison.net/2020/Nov/14/personal-data-warehous...) that's 119 tables right now.

Then I use SQL queries against those tables to extract and combine data in ways that are useful to me.

If the schema of the systems I am importing from changes, I can update my queries to compensate for the change.

This protects me from having to solve for a standard schema up front - I take whatever those systems give me. But it lets me combine and search across all of the data from disparate systems essentially at runtime.

I even have a search engine for this, which is populated by SQL queries against the different source tables. You can see an example of how that works at https://github.com/simonw/datasette.io/blob/main/templates/d... - which powers the search interface at https://datasette.io/-/beta

I've been exploring this technique more over the past year and I really like it - https://datasette.io (code at https://github.com/simonw/datasette.io ) is a more recent and much more complicated example.

Extracting links from markdown and using them to populate some additional columns or tables at build time would be pretty straight forward.

I run SQLite in serverless environments (Cloud Run, Vercel, Heroku) for dozens of projects... but the trick is that they all treat the database as a read-only asset.

If I want to deploy updated data, I build a brand new image and deploy the application bundled with the data. I tend to run the deploys for these (including the database build) in GitHub Actions workflows.

This works really well, but only for applications that don't need to apply constant updates more than a few times an hour! If you have a constant stream of updates I still think you're better off using a hosted database like Heroku PostgreSQL or Google Cloud SQL.

One example of a site I deploy like that is https://datasette.io/ - it's built and deployed by this GitHub Actions workflow here: https://github.com/simonw/datasette.io/blob/main/.github/wor...

Alpine.js for reactive frontend

✨ In recent months, I have been developing web projects using GOTTHA stack: Go + Templ + Tailwind CSS + htmx + Alpine.js. As soon as I'm ready to talk about all the subtleties and pitfalls, I'll post it on my social networks.

> But honestly, torn towards htmx but undecided.

We are in the middle of migrating from our monster react application into server rendered pages (with jinja2). The velocity at which we are able to ship and the reduction of complexity has been great so far.

Managing client side state for simple things like (is the dropdown open/closed), listening to keyboard events and such can be done with something like alpine-js [1] without all the baggage that something like react brings.

It appears this is already the trend with JS frameworks too - with server side rendering being the new norm.

[1] https://alpinejs.dev/

Sure, you can use any number of JS-avoidance libraries. I'm a fan of Turbo, and there's also htmx, Unpoly, Alpine, hyperscript, swup, barba.js, and probably others.

Direct DOM, but with a library. Specifically AlpineJS since it follows Vue closely in design practices allowing me to scale into a full web application if necessary (basically swapping to Vue takes minimal work). The Morph plugin is specifically what I like using.

If you want more details on the initial setup I encourage you to take a look at the Part I that covers more of the initial implementation. For this portion, I added Prisma as an ORM, a frontend style library called Tachyons, and AlpineJS to handle any client-side interactions. I did this to avoid needing to add a client-side bundler to the build and instead just rely on plain old module imports to compose the frontend. This is now the default for Rails and it is quite nice to not need any additional build tools for the client.

- [swallow-pywebview](https://github.com/rangwea/swallow-pywebview)： Base on [pywebview](https://pywebview.flowrl.com/) using Python，the frontend base on [alpinejs](https://alpinejs.dev/) and [tailwindcss](https://tailwindcss.com/)。

If you’ve followed our other tutorials, you might be familiar with Alpine.js. It’s a lightweight JavaScript library that allows you to add interactivity to your site without writing a single line of JavaScript. It’s incredibly easy to use, and we’ll show you how to make the animation trigger when the user scrolls to it.

The approach is not new, essentially a variation of Knockout, Alpine, and similar "JS-in-HTML" approaches.