manim vs ManimML
Code-driven animation tools for math and machine learning
manim is a Python engine for creating precise, code-driven animations, especially for explanatory math videos. ManimML builds on the Manim Community Library with reusable components for visualizing machine learning concepts, so the projects differ in scope and ManimML depends on another Manim project.
manim: Create Programmatic Math Animations
Manim is a Python animation engine for building precise, code-driven scenes for explanatory math videos. It suits creators who want fine-grained control over visual storytelling and are comfortable managing its rendering and system dependencies.
ManimML: Animate Machine Learning Concepts with Manim
ManimML provides reusable Manim components for visualizing neural networks and common machine learning operations. It suits educators and creators who want to build explanatory animations in Python rather than implement each visualization from scratch.
| manim | ManimML | |
|---|---|---|
| Language | Python | Python |
| License | MIT | MIT |
| Stars | 94.5k | 3.5k |
| Forks | 7.8k | 225 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- manim provides a general animation engine, while ManimML focuses on reusable machine learning visualizations such as neural network layers and forward passes.
- manim is the original 3Blue1Brown-oriented ManimGL project; ManimML is a library for the Manim Community Library.
- manim supports previewing scenes, rendering files, command-line controls, and output configuration; ManimML offers components to customize and combine in Manim scenes.
- manim requires Python 3.10 or higher, FFmpeg, and OpenGL, with LaTeX optional; ManimML requires the Manim Community Library and familiarity with its Python scenes.
- Both use Python and have an MIT license. manim has 94.5k stars and 7.8k forks, while ManimML has 3.5k stars and 225 forks.
- manim documentation is described as in progress, and ManimML is under development with incomplete documentation and some features potentially requiring a source install.
Choose manim if you…
- need a general-purpose, code-first engine for precise explanatory math animations.
- want to adapt 3Blue1Brown video code and have checked its compatibility with the current release.
- prefer direct control over scenes, rendering, playback, and output configuration.
Choose ManimML if you…
- want reusable components for animating neural networks and common machine learning operations.
- need to illustrate layer arrangements, forward passes, activation functions, or dropout in Manim scenes.
- want machine learning visualizations rather than a model training or inference framework.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.