---
slug: "manimgx"
name: "ManimGX"
effect: "Renders Manim CE-style math and 3D animation videos from Python scenes your agent writes"
category: "devtool"
tier: "rising"
url: "https://manimgx.academa.ai"
github: "academa-labs/manimgx"
pricing: "open-source"
license: "MIT"
tags: ["animation", "video", "math", "3d", "manim", "rust"]
platforms: ["claude-code", "cursor", "codex", "macos", "linux", "windows", "web"]
install_kind: "pip"
date_added: "2026-10-15"
rank: 3
rising_score: 73
stars: 1307
star_velocity: 135.4
velocity_basis: "since creation"
created_at: "2026-10-05T20:57:05Z"
pushed_at: "2026-10-15T09:24:18Z"
signals_status: "ok"
signals_fetched_at: "2026-10-15T12:37:55.334Z"
page: "https://agenttooldrop.com/tools/manimgx"
---

# ManimGX

Renders Manim CE-style math and 3D animation videos from Python scenes your agent writes

Category: Devtools. Tier: new and rising, rank 3 by new and rising score (73 of 100). Pricing: Open source. License: MIT.

Platforms: claude-code, cursor, codex, macos, linux, windows, web.

## Why you would want it

ManimGX lets an agent write Python against Manim Community Edition's API while a Rust and wgpu engine renders the MP4. It handles 2D and 3D together, with LaTeX or Typst text and math that need no LaTeX installation. The manimgx inspect command gives the agent storyboards and 2D layout checks to review its own output. The README also lists speech synced to animations with self.say() and an npm package that runs scenes in the browser through Pyodide and WebGPU. The README reports a 90.6x speedup over ManimCE on its own five-scene benchmark on an Apple M4 Pro.

## Best for

- Agent-made explainer videos
- Math and 3D visualizations
- Embedding animations in web pages

## Use it when

You want an agent to turn a topic into a rendered math or 3D animation video, or you have Manim CE scenes you want to render faster.

## Skip it if

You need a mature tool: the repo is days old, at v0.1.1, with two contributors. It needs Python 3.13+, and the README says native wheels include x264 and are GPL-3.0-or-later as a whole, so check that before redistributing. The prompt install has your agent follow a remote llms.txt and run setup commands, so read it first. The benchmark numbers are the README's own claims.

## Editor note

The README also offers a prompt install for Claude Code, Codex or Cursor, and an npm package (npm install manimgx) for browser use.

## Install

Install with pip:

```sh
pip install manimgx
```

Source: https://github.com/academa-labs/manimgx#get-started

## Live signals

Fetched 2026-10-15T12:37:55.334Z (status: ok).

- Repository: academa-labs/manimgx
- Repository created: 2026-10-05
- Stars: 1,307 (GitHub's count; it cannot be authenticated)
- Stars per day, since repo creation: 135.4 (an average over the repo's life, not a growth rate)
- Forks: 90
- Open issues and PRs: 9
- License (GitHub): MIT
- Last push: 2026-10-15
- Latest release: v0.1.1 (2026-10-07)

## Links

- Website: https://manimgx.academa.ai
- GitHub: https://github.com/academa-labs/manimgx
- Install instructions verified at: https://github.com/academa-labs/manimgx#get-started
- Source for this entry: https://github.com/academa-labs/manimgx#readme
- AgentToolDrop page: https://agenttooldrop.com/tools/manimgx
- Full catalog (JSON): https://agenttooldrop.com/tools.json