# freemocap/freemocap

Free Motion Capture for Everyone 💀✨

Repository: https://github.com/freemocap/freemocap
Canonical: https://ross.abutalabs.com/products/freemocap
Homepage: http://freemocap.org
Language: TypeScript
License: AGPL-3.0
License Family: copyleft
Last push: 2026-08-26T21:07:45+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 97, longevity 100
- inputs: {"age_days": 1969, "days_push": 7, "days_rel": 22, "gap_med": 6.5, "n_releases_24m": 13}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10085, forks 942 (observed 2026-08-28T04:10:39.504918+00:00)

## What it is
FreeMoCap is a free, open-source, markerless motion capture system that uses ordinary cameras (webcams, GoPros, smartphones) to record and reconstruct full-body 3D movement of humans, animals, and robots. It combines a Python processing server with an Electron/React GUI, calibrating multi-camera setups with a ChArUco board and exporting results to CSV, FBX, and Blender formats.

## Use cases
- capture full-body motion with just webcams
- markerless motion capture for biomechanics research
- record 3D animation data for Blender or game engines
- track human movement for sports and athletic analysis
- synchronize multiple cameras for 3D pose reconstruction
- affordable motion capture without expensive hardware
- analyze gait and movement for scientific studies

## When to choose
- you need research-grade motion capture at zero cost using everyday cameras
- you want exports compatible with Blender, FBX pipelines, or CSV analysis
- you're doing biomechanics, animation, sports, or robotics movement research
- you prefer local processing without cloud services or proprietary hardware

## When to avoid
- you need real-time mocap for live game engines or streaming avatars with ultra-low latency
- you require sub-millimeter precision of optical marker-based systems like Vicon
- you need facial or finger tracking at production fidelity
- you want a fully polished turnkey product with no setup or calibration

## Facets
- artifact type: application
- maturity: active
- function: computer-vision, machine-learning, image-processing, gui, data-visualization
- domain: computer-vision, machine-learning, graphics
- platform: cross-platform, python, windows
- tags: motion-capture, markerless-mocap, 3d-pose-estimation, multi-camera, biomechanics, animation, open-source, research, desktop, nodejs, electron, macos, linux

## Member repositories
- freemocap/freemocap (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:39.504918+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 2026-08-29T17:19:44.929309+00:00, confidence not recorded.
  - readme: https://github.com/freemocap/freemocap (fetched 2026-08-28T04:10:39.504918+00:00, sha 4337ce03b38f)
  - homepage: http://freemocap.org (fetched 2026-08-29T08:19:53.532041+00:00, sha 0c79866d25dd)
  - site_page: https://docs.freemocap.org/documentation (fetched 2026-08-29T08:19:53.541634+00:00, sha ba75eaef1d93)
- Data as of 2026-08-30T08:39:29.467469+00:00.