selectolax VS datasette

https://github.com/rushter/selectolax#simple-benchmark )

(Apache Nutch is a Java-based web crawler which supports e.g. CommonCrawl (which backs various foundational LLMs)) https://en.wikipedia.org/wiki/Apache_Nutch#Search_engines_bu... . But extruct extracts more types of metadata and data than Nutch AFAIU: https://github.com/scrapinghub/extruct )

datasette-graphql adds a GraphQL HTTP API to a SQLite database:

selectolax

try this... https://github.com/rushter/selectolax

Lazyweb link: https://github.com/rushter/selectolax

although I don't follow the need to have what appears to be two completely separate HTML parsing C libraries as dependencies; seeing this in the readme for Modest gives me the shivers because lxml has _seen some shit_

> Modest is a fast HTML renderer implemented as a pure C99 library with no outside dependencies.

although its other dep seems much more cognizant about the HTML5 standard, for whatever that's worth: https://github.com/lexbor/lexbor#lexbor

---

> It looks like the author of the article just googled some libraries for each language and didn't research the topic

Heh, oh, new to the Internet, are you? :-D

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/