@matplotlib.org is getting more and more interactivity!

"plotjs" converts any existing matplotlib charts to an interactive, web-based version of them, with quite a lot of customization options.

Try it out here: github.com/y-sunflower/...

More examples: y-sunflower.github.io/plotjs/

I've started working on a minimalist PoC that converts @matplotlib.org plots into interactive graphics.

There are a bazillion things to do before it's something robust and stable, but I'm confident it will go somewhere.

Online demo: y-sunflower.github.io/plotjs/

Matplotlib is enormous—but just how big is it, really?

Even other well-known tools like Altair and Plotly haven’t reached Matplotlib’s level of adoption—though they do have their own unique features that Matplotlib doesn’t offer.

Code: github.com/JosephBARBIERDARNAL/anim-manim/blob/main/scene.py

@matplotlib.bsky.social is much more than just a data visualization library.

This is ~100 lines of code, using numpy+matplotlib

If you want to learn how to create anything with Matplotlib, the first step is to check out our new project with @yan-holtz.bsky.social: matplotlib-journey.com

Sometimes, I enjoy reinventing the wheel to suit my needs.

So I ended up creating gifing—a minimalist yet customizable GIF maker for Python.

Right now, it’s a simple, foundational version, but I have some cool feature ideas!

repo: github.com/JosephBARBIERDARNAL/gifing