18 Free Animation Libraries: Don't Let AI Video Stop at a Successful Generation

Someone compiled the 18 open-source libraries commonly used for making animated videos in Muse into a list, all publicly available for free on GitHub. The core point of the original post is to put instructions, production, animation, fixes, and export into a single workflow. These libraries are basically enough, and they can be handed directly to Claude Code or Codex in the Muse virtual machine.

The list follows the original post's order:

01 Remotion Skills: The official skill library for letting AI write videos
github.com/remotion-dev/skills

02 Motion Canvas: Diagram animation; write animations in TypeScript, with real-time preview in the editor
github.com/motion-canvas/motion-canvas

03 Motion: Transition effects for interfaces and pages, formerly Framer Motion
github.com/motiondivision/motion

04 Ola: Make numeric values change smoothly
github.com/franciscop/ola

05 Anime.js: Timelines and staggered animations
github.com/juliangarnier/anime

06 Manim: Mathematical formulas and graphic animation
github.com/ManimCommunity/manim

07 Shifty: Easing and tweening
github.com/jeremyckahn/shifty

08 Two.js: 2D vector animation
github.com/jonobr1/two.js

09 Lottie Web: Play lightweight vector animations
github.com/airbnb/lottie-web

10 TweenJS: Drive animations in sequence
github.com/CreateJS/TweenJS

11 LUME: Build 3D scenes with HTML
github.com/lume/lume

12 gifenc: Export GIFs
github.com/mattdesl/gifenc

13 Konva: Interactive canvas
github.com/konvajs/konva

14 Blender: Skeletal and character animation
github.com/blender/blender

15 Three.js: 3D scenes
github.com/mrdoob/three.js

16 Godot: Game animation
github.com/godotengine/godot

17 Babylon.js: 3D rendering and animation
github.com/BabylonJS/Babylon.js

18 Proton: Particle effects
github.com/drawcall/Proton

Some comments are more useful than saving the list. TheEasySale says the lower limit is determined by storyboard and timeline control: first use Remotion Skills plus Motion Canvas to get a 10-second finished video through, then expand the list. 老金带你玩AI puts it more practically: put the export target first, have AI make a 3-second sample, export it in the final format, upload it to the target platform to confirm playback, clarity, and file size, and then make the full video. Vio's judgment is also direct: people who only want to make GIFs don't need 18 libraries. The SI Maximalist mentions that diagram labels are written in code, so changing one word doesn't require regenerating the video.

飞身踢 asked a specific question: for simple popular-science diagrams only, which two or three should be installed first? Manim has good results, but parameter tweaking can easily put people off. This judgment matches the list: choose tools by role, and don't install them all at once. れいちぇる_Web制作出身のAI・Webアプリ開発者 mentions that being able to loop instructions, action confirmation, fixes, and export in the same environment affects delivery more than one-shot generation capability.

If you're just trying your first video, don't start with 18. First decide the delivery format, then choose one main tool plus one export tool, and make a finished video within 10 seconds. For popular-science diagrams, you can look at Motion Canvas and Manim, but factor in the parameter cost of Manim in advance. If you want AI to participate directly in generation, Remotion Skills is more up front. The list is worth saving, but when you actually start, use it by stage.