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Manim vs Motion Canvas

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

Manim

Open source · MIT

Python engine for precise programmatic math animations, built for explanatory videos.

Motion Canvas

Open source · MIT

A TypeScript library and live-preview editor for making animated vector explainers synced to voice-overs.

The short answer

Choose Manim if you need…

  • Programmers who want to make math or science explainer videos with precise, code-controlled animation
  • Educators comfortable with Python who need repeatable, scripted diagrams
  • People who want to study or reuse the code behind 3Blue1Brown videos
  • Developers who want an interactive preview window while building scenes

Choose Motion Canvas if you need…

  • Developers who are comfortable with TypeScript and want code-driven animation
  • Creators making explainer videos with voice-overs
  • Educators producing diagrams or math-style animations
  • Teams that want animations versioned in a normal code repository

Side-by-side

ManimMotion Canvas
TypeLibraryFramework
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars96k19.6k
Setup difficultyIntermediateIntermediate
How you get itInstall with a package managerInstall with a package manager
Main languagePythonTypeScript
Last code update58 days ago4 months ago

What each one is

Manim

Manim is a Python engine where you write code describing objects and how they move, and it renders those scenes as animated videos. It was built by the creator of 3Blue1Brown to make explanatory math videos. This repository is the original "ManimGL" version; a separate community fork also exists.

Motion Canvas

Motion Canvas lets you write animations in TypeScript, using generator functions to describe the sequence of steps. It comes with an editor that previews the animation in real time and lets you tweak some properties without touching code. It is aimed at building informative vector animations, such as explainer videos, and lining them up with narration.

Best for

Manim

  • Programmers who want to make math or science explainer videos with precise, code-controlled animation
  • Educators comfortable with Python who need repeatable, scripted diagrams
  • People who want to study or reuse the code behind 3Blue1Brown videos
  • Developers who want an interactive preview window while building scenes

Motion Canvas

  • Developers who are comfortable with TypeScript and want code-driven animation
  • Creators making explainer videos with voice-overs
  • Educators producing diagrams or math-style animations
  • Teams that want animations versioned in a normal code repository

Strengths

Manim

  • MIT licensed and open source
  • Scenes are plain Python code, so animations are reproducible and version-controlled
  • Large community with a Discord, subreddit and a Chinese-language documentation mirror

Motion Canvas

  • Animations are plain TypeScript code, so they can be version-controlled and reused
  • Real-time preview in the editor shortens the edit-and-check loop
  • Built on Vite, and the README lists a Vite plugin for development and bundling

Not ideal for

Manim

  • Non-programmers wanting a drag-and-drop video editor, since scenes are written in Python
  • People who need the more stable, well-tested version; the README points to the Manim Community edition for that
  • Anyone unwilling to install FFmpeg, OpenGL and optionally LaTeX, since setup has several system dependencies

Motion Canvas

  • People who want a drag-and-drop timeline editor with no coding, since the main workflow is writing code
  • Users who need heavy 3D or photorealistic rendering, since the README describes it as a tool for vector animations
  • Anyone needing a stable production API, since the README does not state a stability policy and the project is on v3.x

Trade-offs

Manim

  • The README says documentation is still in progress
  • Installation requires system tools (FFmpeg, OpenGL, optionally LaTeX and Pango) and can be fiddly
  • Code from older 3b1b videos may not work with the latest version, per the README

Motion Canvas

  • Requires programming knowledge; the editor only covers some aspects of an animation
  • The README is brief and points to external docs for getting started, so onboarding depends on those docs
  • Local development setup involves a monorepo with several packages and manual linking for custom builds

Getting started

Manim

Install ManimGL from PyPI

pip install manimgl

Try it out

manimgl
Step-by-step guide: how to use Manim

Motion Canvas

Clone the repository

git clone https://github.com/motion-canvas/motion-canvas

Install dependencies (from the monorepo root)

npm install
Step-by-step guide: how to use Motion Canvas

Frequently asked questions

What is the difference between Manim and Motion Canvas?

Manim: Python engine for precise programmatic math animations, built for explanatory videos. Motion Canvas: A TypeScript library and live-preview editor for making animated vector explainers synced to voice-overs. Manim suits programmers who want to make math or science explainer videos with precise, code-controlled animation, while Motion Canvas suits developers who are comfortable with typescript and want code-driven animation.

Are Manim and Motion Canvas free?

Manim: Free and open source. Motion Canvas: Free and open source.

Is Manim or Motion Canvas more popular?

Manim has more GitHub stars (96k) than Motion Canvas (19.6k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to Manim and Motion Canvas?

Other options people compare them with include Manim.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.