pyMechT is a Python package for simulating the mechanical response of soft biological tissues. The focus is on flexibility of defining models (referred to as MatModels). The ethos of pyMechT is to create simplified virtual experimental setups. That is, a sample is created of which there are the following options:

• Uniaxial extension;
• Biaxial extension; and
• Inflation-extension.

The MatModel is applied to the sample, such that the parameters encompass both the material parameters and those which define the corresponding sample setup (an example being the dimensions of the specimen). Finally, the samples can be simulated in either displacement-controlled or force-controlled loading to allow the use of Bayesian inference methods.

Required dependencies are:

• matplotlib
• numpy
• pandas
• pyDOE
• scipy
• torch
• sympy
• tqdm

To create an environment in Anaconda, execute:

conda create -n pymecht

To activate this virtual environment, execute:

conda activate pymecht

This is an option, but recommended step. There are other options for create and managing environments (such as venv or virtualenv)

pip install pymecht

git clone <repo-address>

python setup.py develop

Ensure that pyMechT has been installed by executing:

pip list

The package and version should be visible in the resulting list.

Find the full documentation at https://pymecht.readthedocs.io/en/latest/.

To contribute to the pyMechT framework, install pyMechT using the developer options. All changes should be made to your forked repo. If there is a new feature or bug fix, raise a pull request. In the case that an additional feature is added, a corresponding example and test should be written in the respective python scripts.