bioscout 1.1.0

an open-source Python toolbox movement assessment (version 1.1.0)

BioScout

Biomechanical analysis and movement scouting for coaches and athletes.

BioScout is an open-source Python toolbox for musculoskeletal modelling, motion capture analysis, and real-time movement assessment.
Successor to msk_modelling_python.
see License

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App Preview

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What it does

• Full OpenSim pipeline — C3D → scaling → IK → ID → static optimisation → CEINMS muscle forces
• Computer vision kinematics — pose detection from phone or laptop camera
• Player profiles — organise athlete data across sessions, assign groups, track over time
• Batch processing — run entire pipelines overnight with a single settings file

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Requirements

Dependency	Version	Install via
Python	3.9 – 3.11	conda
OpenSim	4.6+	pip install opensim (or conda install -c opensim-org opensim)
numpy, pandas, scipy, matplotlib	latest	pip (auto with bioscout)
opencv-python, mediapipe	latest	pip (optional, video features)

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Installation

Step 1 — Create a conda environment with Python 3.11

OpenSim requires Python 3.11 or earlier (it is not yet available for 3.12+).

conda create -n bioscout_env python=3.11 -y
conda activate bioscout_env

Step 2 — Install OpenSim

OpenSim 4.6+ is available on PyPI (Python 3.11 required):

pip install opensim

If that fails (e.g. Python 3.12+), install via conda instead:

conda install -c opensim-org opensim -y

Verify it works:

python -c "import opensim; print(opensim.__version__)"

Step 3 — Install BioScout

From PyPI (stable release):

pip install bioscout

From source (development):

git clone https://github.com/basgoncalves/bioscout
cd bioscout
pip install -e .

Step 4 — Optional: video and pose estimation

Only needed for the recording / computer vision tabs:

pip install opencv-python mediapipe

Step 5 — Verify

python -m bioscout --install

This prints a dependency status table and offers to install anything still missing.

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Quick start — new project from scratch

# 1. Initialise project folder (copies settings template, models, setup files)
python -m bioscout --init /path/to/my_project

# 2. Add participants (interactive prompts, saved to players.json)
cd /path/to/my_project
python -m bioscout --add_player   # repeat for each participant

# 3. Copy your C3D files into simulations/<player_id>/
#    e.g. simulations/012/HAB1.c3d, simulations/012/static1.c3d

# 4. Edit settings.py — set PROJECT_ROOT and PLAYERS
#    (players.json holds all participant data; settings.py only needs IDs)

# 5. Run the pipeline
python -m bioscout -b settings.py

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Usage reference

Launch GUI:

python -m bioscout

Initialise a new project:

python -m bioscout --init /path/to/my_project

Creates simulations/, Models/, setup_files/, and logs/ and copies the settings.py template, bundled OpenSim models, and setup XML files.

Add a participant:

cd /path/to/my_project
python -m bioscout --add_player

Prompts for ID, demographics (height, mass, age, sex), dominant leg, and injury details. IDs are unique — duplicates are rejected. Data is saved to players.json.

settings.py — PLAYERS field:

# Simple: IDs only — all data comes from players.json
PLAYERS = ['012', '078']

# With per-run overrides:
PLAYERS = {
    '012': {},
    '078': {'static_trial': 'static2'},
}

Run batch pipeline:

cd /path/to/my_project
python -m bioscout -b settings.py

Check / install dependencies:

python -m bioscout --install

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Project structure

After --init and adding two participants your project looks like:

my_project/
├── settings.py              ← edit PROJECT_ROOT and PLAYERS here
├── players.json             ← participant registry (auto-managed)
├── Models/
│   ├── GPK_generic.osim
│   └── Geometry/
├── setup_files/
│   ├── IK_task_set.xml
│   ├── markers_*.xml
│   └── ...
├── simulations/
│   ├── 012/
│   │   ├── static1.c3d
│   │   ├── HAB1.c3d
│   │   └── HAB1/           ← created by pipeline
│   │       ├── marker_experimental.trc
│   │       ├── grf.mot
│   │       ├── joint_angles.mot
│   │       └── ...
│   └── 078/
└── logs/

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Project-level analysis

from bioscout.core.project_analysis import compare_groups, compare_players

results = compare_groups(['fais', 'control'], result_type='ik', dof='hip_flexion_r')
results = compare_players(['012', '078'], result_type='so_forces', dof='recfem_r')

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Migration from msk_modelling_python

pip uninstall msk-modelling-python
pip install bioscout

Replace imports:

# Old
import msk_modelling_python as msk
# New
import bioscout as msk

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Version: 1.1.0