timezones-api VS datasette

I wrote a tutorial on SpatiaLite here: https://datasette.io/tutorials/spatialite - "Building a location to time zone API with SpatiaLite"

It shows how to use SpatiaLite + Datasette to build an API that can tell you what timezone a latitude/longitude point is in, using data derived from OpenStreetMap via https://github.com/evansiroky/timezone-boundary-builder

Here's a demo: https://timezones.datasette.io/timezones/by_point?longitude=... - add ".json" to the URL for the JSON output.

It had been quite a while since a major release, but then SpatiaLite 5.0 came out a couple of months ago with some very significant new features - the K-Nearest-Neighbor stuff is particularly interesting. https://www.gaia-gis.it/fossil/libspatialite/wiki?name=5.0.0...

I've built a few fun demos using SpatiaLite and Datasette. Here's an API that tells you the timezone for a latitude longitude point:

https://timezones-api.datasette.io/timezones/by_point?longit... - implementation here: https://github.com/simonw/timezones-api

And here's the same thing for which US county a point is within: https://us-counties.datasette.io/counties/county_for_latitud... - implementation here: https://github.com/simonw/us-counties-datasette

I've also built an experimental Datasette plugin that lets you draw a shape on a Leaflet map to generate a GeoJSON polygon, then uses SpatiaLite to show you geometries that are contained by that drawn polygon. I wrote about that here: https://simonwillison.net/2021/Jan/24/drawing-shapes-spatial...

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/