msm-sardar

antelope

Standard Interface and reference framework for LCA

azure-sdk-for-python

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

background

Background LCI implementation including Tarjan Ordering

Compost_Utilization

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

core

Antelope Catalog - reference implementation

foreground

An interface and implementation for building and analyzing foreground models

swolfpy

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.

swolfpy-inputdata

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

swolfpy-processmodels

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

Swolfpy-Project.github.io

Website for SwolfPy Project.

msm-sardar/Compost_Utilization

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

msm-sardar/antelope

Standard Interface and reference framework for LCA

msm-sardar/azure-sdk-for-python

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

msm-sardar/background

Background LCI implementation including Tarjan Ordering

msm-sardar/core

Antelope Catalog - reference implementation

msm-sardar/foreground

An interface and implementation for building and analyzing foreground models

msm-sardar/msm-sardar