qgrid VS datasette

There are a bunch of projects which seem to offer spreadsheet-style widgets for editing and presenting CSV and similar data in Jupyter: mitosheet, qgrid (abandoned?), jupyterlab-spreadsheet-editor, ipysheet (deprecated?), ipydatagrid, and ipyaggrid (and maybe others?). So far, mitosheet looks like the most flexible, featureful and up-to-date. Has anyone used these and can compare how useful they've been in practice? Or does anyone have some I've missed and should check out?

you can check qgrid https://github.com/quantopian/qgrid

I played around with many of these before:

https://github.com/quantopian/qgrid

This looks like a copy of qgrid (https://github.com/quantopian/qgrid), which is open source and free.

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/