ICB-DCM/pyPESTO

python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)

The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:

Model predictive control python toolbox

COBRApy is a package for constraint-based modeling of metabolic networks.

distributed, likelihood-free inference

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

GEKKO Python for Machine Learning and Dynamic Optimization

A parameterisation and optimisation package for battery models.

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.