diarycli VS datasette

Shameless plug of basically the same idea except as a pip package:

https://github.com/Aperocky/diarycli

`pip install diarycli`

Alternatively there is a shell version if you are averse to python/pip package manager as well:

https://github.com/Aperocky/diaryman/blob/master/diaryman.sh

I've been using this for years, it doesn't have any fancy features - it only reliably opens up/create today's diary in vim whenever I type `diary` in command line. with some minor utilities.

Shameless plug on the same subject if you are vim user fond of terminal:

https://github.com/Aperocky/diarycli

`pip install diarycli`

Alternatively there is a shell version if you are averse to python/pip package manager as well:

https://github.com/Aperocky/diaryman/blob/master/diaryman.sh

The only way I can get myself to write things down is to have it one commands away in the terminal.

Diary script.

`$ diary` create/open a file for today's diary in vim: https://github.com/Aperocky/diaryman/blob/master/diaryman.sh

Or try `pip install diarycli`: https://github.com/Aperocky/diarycli, for a pip packaged python version that does the exact same thing.

I've actually kept diary and work logs, things I did not know I was capable of.

My luddite? solution: make note taking as painless as there is, make it one word command away in the terminal, and that command organize the notes/diary in dates:

https://github.com/Aperocky/diarycli

It's a pip package and by installing you can invoke the `diary` command to directly edit the day's note or diary (as long as the python package bin are in your shell PATH). You can also configure location where they are stored or the shell editor you want to use.

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/