ipython_memory_usage VS Nullboard

Years back I built IPython Memory Usage[0] which shows how much RAM and time was used per cell in Jupyter Notebooks (and originally the IPython shell). This is very useful for diagnosing why some Pandas and NumPy operations use a lot of RAM [1] which can also point at slow-downs, so you can compare different approaches to find more efficient solutions rather than randomly trying stuff until something no longer breaks.

0: https://github.com/ianozsvald/ipython_memory_usage

1: https://github.com/ianozsvald/ipython_memory_usage/blob/mast...

Hello, HN! I'd like to introduce you to nbagent[0], an open-source alternative backup agent for Nullboard[1] for Unix systems. If you, like me, are a fan of Nullboard's simplicity and you've been looking for an easy way to have your data backed up, check it out.

I'd love to hear your feedback on nbagent. Please feel free to leave comments, suggestions, or questions below.

[0] https://github.com/luismedel/nbagent

[1] https://nullboard.io/preview

Surprisingly no one has mentioned nullboard (https://nullboard.io/preview) yet. Just a single file JSON to carry around the entire board.

Nullboard maybe?

minimalist kanban board, without fancy tagging/time tracking/... features. Every game has a column, and notes are player names. nullboard would be perfect if it wasn't local only;

Nullboard - cool simple project, no bug tracking

Nullboard - Kanban board with dark mode, localStorage, and thoughtful UI

I use and like https://nullboard.io/preview nullboard which runs in the browser. Because it uses local data, you need to save it or the data is lost when you close the browser window.