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A python library for performing surgical skills evaluation

Project description

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Author: Stephen Thompson

scikit-surgery-evaluation provides an application to evaluate surgical skills. You can provide a set of unstructured grids representing a set of locations that the user is then expected to target using a tracked pointer, utilising a SNAPPY tracking library (scikit-surgeryarucotracker, or scikit-surgerynditracker). You can specify paths for the user to follow, or let the system select target meshes automatically.

scikit-surgery-evaluation is part of the SNAPPY software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).

scikit-surgery-evaluation supports Python 3.6.

python -c configuration.json



You can clone the repository using the following command:

git clone

Running tests

Pytest is used for running unit tests:

pip install pytest
python -m pytest


This code conforms to the PEP8 standard. Pylint can be used to analyse the code:

pip install pylint
pylint --rcfile=tests/pylintrc sksurgeryeval


You can pip install directly from the repository as follows:

pip install git+


Please see the contributing guidelines.


Supported by Wellcome and EPSRC.

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