SwolfPy is a free, multi-platform, Python-based, open-source, SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilities.

The swolfpy-inputdata module is responsible for storing, updating, and generating new uncertain input data for the process models in swolfpy-processmodels.

Code for our paper "An integrated selection and routing policy for urban waste collection".

Waste detector and classifier for paperboard and plastic

Documentation for Waste Detection System