High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.

Reinforcement learning environments with musculoskeletal models

SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.

A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.

Notes on Scientific Computing for Biomechanics and Motor Control

Nimble: Physics Engine for Biomechanics and Deep Learning

Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion

The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.

PyDy tutorial materials for MASB 2014, PYCON 2014, and SciPy 2014/2015.

A UI for building OpenSim models

Python toolbox for biomechanics analysis

Tools for the Cleveland State Human Motion and Control Lab

An optimization framework that links CasADi, Ipopt, ACADOS and biorbd for Optimal Control Problem

We developed a method animating a statistical 3D human model for biomechanical analysis to increase accessibility for non-experts, like patients, athletes, or designers.

Musculoskeletal Models in MuJoCo

An Open-Source Python Package to Facilitate Research in Biomechanics

Compute 2D human pose and angles from a video or a webcam.

Information of public available data sets for biomechanics.

Solve optimal control problems for musculoskeletal models using OpenSim and direct collocation.

STAPLE (Shared Tools for Automatic Personalised Lower Extremity modelling) consists of a collection of methods for generating skeletal models from three-dimensional bone geometries, usually segmented from medical images. The methods are currently being expanded to create complete musculoskeletal models.