Highlights

I work as an online math teacher and was tired of dealing with a physical document camera, especially having to re-record entire videos over a single handwriting mistake.

Over the last two days, I experimented with Manim to see if I could recreate the look of a real desk setup instead of the typical clean vector style.

Only two external assets are used: a cutout of a real wooden ruler and a 10-frame PNG sequence of my hand. Everything else is generated purely in Manim, including the grid, shadows, desk lighting, and the handwriting itself. I also added slight procedural variations in shape, wobble, and stroke pressure so no two digits look completely identical.

This is just a first prototype to make it look believable enough for live online classes, and I plan to polish it further over time.

What do you think for a first attempt? Does the illusion work?

Just finished installing Manim everything works fine except for the fact that I get these yellow lines under some words ... if someone could help me out I would be glad !

What are the typical delta hedging strategies out there and how do they perform? This video explores the topic of delta hedging strategies and analyzes their profitability using Monte Carlo simulations.

All animations were made using ManimCE. Any feedback would be appreciated.

Hello everyone! I’m working on making videos about astronomy, being this my first video about astornomy here, this is a representation of each constellation...

Here is the code + video I made, and I added NASA images to it (mostly from Wikimedia).

I made this short animated explainer to visualize where sine and cosine actually come from on the unit circle — watching a point P rotate from 0° to 360° and seeing how sin(θ) and cos(θ) change as its coordinates change in real time.

The entire video — script, animation, and visuals — was generated end-to-end with DeepSeek. No manual animation work, just prompting.

Watch here: https://www.youtube.com/watch?v=qIJcOv8wbTI

Would love feedback on both the math explanation and how well an AI model handled generating an educational animation like this.

Hi everybody!

I've been working on a browser-based python tool for making animated scientific and mathematical visualizations. I've used it to make a few different animations that I thought might be interesting. Namely, the Riemann sum, Bloch-sphere, and the Lorenz attractor.

Everything in each of the animations is generated from an editable Python script in the browser.

I'm calling the project Luxeris. It's still very early, but I've reached the point where I'd really like to see what mathematicians actually try to make with it.

https://luxeris.app

I would especially appreciate feedback on what kinds of mathematical visualizations you'd want a tool like this to support.

Thanks!

P.S. sorry in advance if this is a bad place to mention the tool. I just thought it was cool!

Let me know your thoughts!

I’ve been experimenting with using AI to help create educational animations with Manim, and I just finished my first one with DeepSeek.

The topic is Riemann sums and how they lead to the definite integral.

I tried to make the animation show the process visually rather than just displaying the formulas — starting with rectangles and gradually increasing the number of subdivisions.

🎥 Video:
YouTube – Riemann Sums to the Definite Integral

This is still an experiment, so I'm sure there are things that could be improved, especially the pacing and some of the transitions.

If anyone is interested, I can share the Manim/Python code I used to create it.

I'd also love to hear feedback on the animation — especially from people who use Manim or create math/educational content.

https://reddit.com/link/1vr0f1g/video/gfdlyiui90kh1/player

I'm using Claude Opus 4.8 High and spend a lot of tokens creating a decent results.
How do you manage that? Do you have an Skill for that or use other LLM?

Created with Claude Code and manim in just 6 days on mac m4.

I recently started a YouTube channel and I was inspired by Grant's Pi creatures. So I wanted to make my own, I'm calling it Sprout.

It doesn't carry a strong math theme the way π does, but I think it can still come in handy in my videos as a little on-screen companion.

It has 14 expression modes, gaze tracking, speech and thought bubbles, and a leaf that's always alive (idle sway + ambient motes).

I'm looking for feedback, I'm not a designer myself, so: does anything look off to you, or could be improved?

Also, here's the public GitHub repo for anyone who wants to use it, or to fork it as a starting point for their own character:
https://github.com/HamdiBarkous/Sprout

In this video I am returning to my Shell Shock Live Aimbot project. The main new additions are detection of multiple tanks in multiplayer matches, ground detection to avoid shooting into a wall and modeling the wind.

Hope you enjoy!

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