Manimml: Animate machine-learning concepts in Manim

Understand the project

Practical overview

Use ManimML when you want to create code-driven, rendered visuals of machine-learning concepts in the Manim Community workflow.

Educators and technical communicators creating visual explanations of machine learning.
Python developers who want to compose machine-learning diagrams and animations as Manim scenes.

Before you choose

Requires Manim Community, not the original 3Blue1Brown Manim version.
The documented workflow uses Python scene files and the Manim command-line renderer.
The project is MIT-licensed.
The README describes the project as under development, with features subject to change and limited documentation.
Some recent features may require installing from source.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Create a Manim scene containing a convolutional neural network and render its forward-pass animation.

Manim Community edition installed; the README directs users to install Manim before ManimML.
ManimML installed from source or with pip install manim_ml. The README notes some recent features may only be available from source.
A Python scene file, such as example.py, containing the documented network and animation code.

Import Manim and Convolutional2DLayer, FeedForwardLayer, and NeuralNetwork from manim_ml.neural_network.
Define a ThreeDScene and, inside construct, assemble a NeuralNetwork from convolutional and feed-forward layers.
Add the network to the scene, create its forward-pass animation with make_forward_pass_animation(), and play the animation.
Run manim -pql example.py from the command line to render the low-resolution video; the README gives manim -pqh example.py for higher quality.

A rendered video showing the neural-network forward pass; higher-quality rendering takes longer, according to the README.

The README says ManimML is under development, features may change, and documentation is limited.
Some recent features may require installing ManimML from source.

Evidence and transparency

Source record details

Source availability: Active
Sources checked: 14 October 2026
Original website title: helblazer811/ManimML · Official homepage title · retained in its source language