gomodest-template VS datasette

Its too early for a roadmap. I have tried different approaches and rejected them: https://github.com/adnaan/gomodest-template, https://github.com/goliveview/examples. I want the library to be have a great UX, good for moderately complex apps while building tech which is maintainable(no new rendering layer engine). I could use some help brainstorming the approaches though.

Oh wow someone finally went ahead with the server rendered js in Go ! Looks great. I have been experimenting various ways to build web apps in Go: https://github.com/adnaan/gomodest-template. I have landed on pursuing one approach more deeply: server rendered html templates over websockets. Don’t have a lot of code right now but here are some examples: https://github.com/goliveview/examples.

Since early this year, I started working on https://gomodest-template.fly.dev/samples, https://github.com/adnaan/gomodest-template to experiment with various ways to build user interfaces in Go, html and a bit of javascript. Now, I have taken all the learnings from gomodest-template and started working on https://github.com/goliveview/ . Its super early work.

So I have been exploring server side rendered Go web apps using only sprinkles & spots of javascript: source: gomodest-template , live demo .

I have built an app template which uses Go html/template package to render html on the server. The app is enhanced using sprinkles of javascript(stimulusjs, svelte single file components) on the client, wherever needed.

1. template: https://github.com/adnaan/gomodest-template

gomodest-template

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/