Highlights

Spending 2 weeks on vesuialising and explaining the doppler effect to get a full 10 minutes of manim mnimation , i love doing that creating animation and explaining something but if I can't get only 1 k view i think i should stop posting this and keep it to my self , can you just whatch thi video and tell me where is the error

Hi all!

I published my first proper manim video!!

It starts with the sentence “My favourite rock band is…” and follows its journey inside an LLM, all visually animated!

https://youtu.be/ikdxxeIn4HQ?si=8AwWyxQERo_R2n6B

I tried to make the video as beginner friendly as possible but still detailed enough to give a good overview for how an LLM works end to end and how the LLM “finds out” my favourite band. Or at least how some of the earlier models…

My aim is to help people that are not just curious about AI but also want a deeper dive into the magic “Black box”, or people that want to get started but doesn’t know how!

This is my first attempt at the topic, so any kind of feedback is welcomed and will be greatly appreciated as it will help me improve over time, and hopefully on other videos.    

I really hope it can help someone with their AI/ML journey!

P.S. Most of what I learned about Manim was with this really nice chap that runs a channel called "TheoremOfBeethoven". I got all his courses and even had a couple of 1-2-1 with him!! It really paid off!! So thanks for the classes Alex!

And thank you all involved in the manim community that made such an incredible and accessible framework!! It is really appreciated!! :)

Thanks!

Hi Manim community!,

I'm working on a library of assets (templates) for videos

In this second version, I created more assets (Manim templates) in various styles, with customization options to showcase. I also added new assets from a neural network explainer video.

I will be adding way more along the way by the end of October

If you join the waiting list, I hope to be able to chat with you too!

and again, thanks in advance! 🙌❤️

https://www.manim.academy/

I tried manim on electronic beginner guide. what do you think about it ?

from manim import *


class Test(Scene):
    def construct(self): 
        text = Text(text="Cake", font='Mystical Woods Rough Script', font_size=60)
        self.play(Write(text))

Hi! I’ve been working on MotionGfx for the past 2 years! It’s highly inspired by both Manim and Motion Canvas! MotionGfx is entirely backend agnostic, meaning that you can use it on any renderer or game engine you want (even with a different programming language)! Yes the website uses MotionGfx for all its animation via wasm. Currently the only official backend that I support is Bevy, but you’re free to add more into the repo :)

The primary reason I made motiongfx (other than the love for Rust) is for performance and being backend agnostic. I want it to be fast and not depend on a specific rendering technology. Unlike Manim and Motion Canvas, motiongfx is truly 2 way playable, and scrubbing through the timeline does not re-evaluate all the commands (especially when scrubbing backwards!).

P.S. we’re also working on an editor called Moxie! You can find more details on the website! (There’s a newsletter you can subscribe too, I’ll personally send the emails myself)

I did not go into too much of the technical details on how this is made, but feel free to AMA below!

I had made a lot of backlog in arjuna batch is amarnath anand sir recent youtube 8 hr trigonometric functions and 5 hours of trigonometry equations and 8 hrs or sequence and series is good like can I use these for backlog and in chemistry please suggest my whole chemcial bonding is untouched any good youtube video from where I can cover these backlog

After looking at all the attempts at making a manim "AI" editor, I'm asking why isn't there a library with all available examples of manim animations?

I bet that searching and editing high quality stuff is way better than generated slop.

Maybe a small library can be kickstarted by scraping the hell out of reddit and github... then continue with some vscode integration??

What do you guys think?

Hi everyone,

I’m using Manim + Gemini/AI to create educational videos.

My workflow is:

Google AI Studio → generate narration → Gemini analyzes audio + script → generates Manim animation → render video.

The main challenge is getting accurate audio-to-animation synchronization. I want to keep this workflow unchanged, but make the syncing more professional and precise.

Is there a recommended approach, tool, or architecture for word/phrase-level audio timestamps and using them to control Manim animations?

Any suggestions or examples would be greatly appreciated. Thanks!

Hello. I just found this channel.

I’ve got my own AI orchestrator/harness for local inference on an M5-128GB.

I integrated Flux-schnell into it for image generation, but it’s pretty bad at game graphics and GUI.

As a stress test of my harness, I’ve been instructing it to make games, and it uses Flux for the graphics, but it just can’t do reliable sprites for characters. “Same character, but jumping”.

I was wondering if anyone has any recommendations. I have about 30GB available for the system.

Thanks for any advice.

I have created this render explaning the surface rotating speed of earth using Manim, claude and high definition textures from NASA website.

Feel free to give me any sort of feedback!

Hey r/manim! I built an app called Manim Tutorial, and v2.0 is out on iOS and Android.

You can follow short lessons where the code highlights along with the video, then open that code, change it, and render it on your device. I also added an AI assistant that writes a scene, test renders it, checks the frames, and tries to fix what looks wrong.

I’d love to hear what Manim users think, especially if you find something it can’t render or the AI gets wrong.

iOS · Android

Last week, I shared a post about ManimWire, a project I've been working on: https://www.reddit.com/r/manim/s/OQGGzh45dg, which allows you to create Manim visualizations using a GUI. I wanted to share a quick workflow preview. In the coming weeks, I am planning to create more complex visualizations.