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.

The swolfpy-processmodels module is responsible for calculating and reporting the LCI of the waste management processes.

Caste study with SwolfPy.

What Is the Best End Use for Compost Derived from the Organic Fraction of Municipal Solid Waste?

Website for SwolfPy Project.