# facebookresearch/ai4animationpy

A Python framework for AI-driven character animation using neural networks.

Repository: https://github.com/facebookresearch/ai4animationpy
Canonical: https://ross.abutalabs.com/products/ai4animationpy
Homepage: https://facebookresearch.github.io/ai4animationpy/
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-08-14T10:58:53+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 35, longevity 15
- inputs: {"age_days": 211, "days_push": 19, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2078, forks 256 (observed 2026-08-28T04:06:11.371541+00:00)

## What it is
AI4AnimationPy is a Python framework for AI-driven character animation using neural networks, providing motion capture processing, training and inference, and animation engineering. It ports the Unity-based AI4Animation project to Python with a game-engine-style ECS architecture, running on NumPy/PyTorch with optional Raylib rendering.

## Use cases
- train neural network controllers for character locomotion
- process motion capture data in Python
- run AI character animation headless on a server
- import and convert BVH FBX GLB animation files
- visualize interactive biped and quadruped locomotion demos
- implement inverse kinematics for animated characters

## When to choose
- you want AI4Animation capabilities without a Unity dependency
- you need a unified Python environment for animation data processing, training, and inference
- you are researching neural character animation or motion synthesis

## When to avoid
- you need a permissively licensed library for commercial products (CC BY-NC 4.0 is non-commercial)
- you need a production game-engine animation runtime rather than a research framework
- you require Unity or another full game engine integration

## Facets
- artifact type: framework
- maturity: active
- function: machine-learning, deep-learning, simulation, graphics, animation
- domain: machine-learning, graphics, simulation
- platform: python, cross-platform
- tags: character-animation, motion-capture, neural-networks, inverse-kinematics, ecs, pytorch, raylib, locomotion, bvh, fbx, game-development, gpu

## Member repositories
- facebookresearch/ai4animationpy (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.371541+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:56:06.708497+00:00, confidence not recorded.
  - readme: https://github.com/facebookresearch/ai4animationpy (fetched 2026-08-28T04:06:11.371541+00:00, sha 0993acfb9ba5)
  - homepage: https://facebookresearch.github.io/ai4animationpy/ (fetched 2026-08-29T10:36:13.149326+00:00, sha 8711b8487d64)
- Data as of 2026-08-30T08:39:29.467469+00:00.