Life Cycle Assessment Python Packages

bw2calc

The calculation engine for the Brightway2 life cycle assessment framework.

mrio-common-metadata

Common Datapackage schema and utilities for MRIO tables

biosteam

The Biorefinery Simulation and Techno-Economic Analysis Modules

bw-processing

Tools to create structured arrays in a common format

bw2io

Importing and exporting for the Brightway LCA framework

bw-migrations

Migration data and utilities for Brightway IO and LCA in general

brightway2

Metapackage for brightway2 imports and documentation

b280-olca-mcp

Experimental MCP server connecting AI assistants to openLCA. 31 tools for database search, model building, auditing, and impact calculations.

qsdsan

Quantitative Sustainable Design (QSD) of sanitation and resource recovery systems.

hensmith

Heat Exchanger Network Synthesis, Modeling, Integration, Thermodynamics, and Heuristics

pyvolca

Fast open-source LCA engine with API, Python library, CLI, MCP.

exposan

EXPOsition of sanitation and resource recovery systems

apparun

Appa Run is a package used to load and execute impact model produced by the Appa Build package. It is part of the Appa LCA framework.

appabuild

Appa Build is a package used to build impact model which are meant to be loaded and executed by the Appa Run package. It is part of the Appa LCA framework.

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.

bw2qsd

An interface between Brightway2 and the QSD packages for life cycle assessment data importing

mescal

Coupling Energy System Models with Life Cycle Assessment

sargent

Sargent: an integrated process systems engineering platform (compiled releases on PyPI)

bw2regional

Regionalized LCA calculations

swolfpy-processmodels

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

regioinvent

Python class regionalizing processes from the ecoinvent database using trade date from the UN COMTRADE database and common sense.

cafein-lca

Life-cycle assessment of urban passenger transport in Python

moca-uncertainty-lca

MOCA is a Python package to perform efficient and parallelised uncertainty quantification for Life Cycle Assessment (LCA). It is built to work with the Brightway2 framework. Currently, MOCA includes a class for high-speed Monte Carlo Simulation. More methodologies for uncertainty quantification are planned to be implemented going forward.

bw25io

Importing and exporting for the Brightway LCA framework