# Introduction ![Python 3.10](https://img.shields.io/badge/python-3.10-blue) ![Python 3.11](https://img.shields.io/badge/python-3.11-blue) ![Python 3.12](https://img.shields.io/badge/python-3.12-blue) [![Brightway 2.4](https://img.shields.io/badge/brightway-2.4-blue)](https://docs.brightway.dev/en/legacy/index.html) [![Brightway 2.5](https://img.shields.io/badge/brightway-2.5-blue)](https://docs.brightway.dev/en/latest/) This library is a layer above [**brightway2**](https://brightway.dev/) designed for the definition of **parametric inventories** with fast computation of LCA impacts, suitable for **monte-carlo** / global sensitivity analysis It integrates the magic of [Sympy](https://www.sympy.org/en/index.html) in order to write parametric formulas as regular Python expressions. **lca-algebraic** provides a set of **helper functions** for : * **compact** & **human readable** definition of activities : * search background (tech and biosphere) activities * create new foreground activities with parametrized amounts * parametrize / update existing background activities (extending the class **Activity**) * Definition of parameters * Fast computation of LCAs * Computation of monte carlo method and global sensitivity analysis (Sobol indices) * Support for automatic check of [homogeneity of physical units](https://lca-algebraic.readthedocs.io/en/stable/api/units.html) # ⚙ Installation We support both [Brightway 2.4 (legacy)](https://docs.brightway.dev/en/legacy/index.html) and [Brightway 2.5](https://docs.brightway.dev/en/latest/) via two separate branches / libraries : * [lca_algebraic](https://pypi.org/project/lca-algebraic/) (for Brightway 2.4) * [lca_algebraic_bw25](https://pypi.org/project/lca-algebraic-bw25/) (for Brightway 2.5) ## 1) Setup separate environment First create a python environment, with **Python** [>=3.10, <3.13] : **With Conda (or [mamba](https://mamba.readthedocs.io/en/latest/index.html))** ```bash conda create -n lca python==3.10 conda activate lca ``` **With virtual env** ```bash python3.10 -m venv .venv source .venv/bin/activate ``` ## 2) Install lca_algebraic > pip install lca_algebraic Or, for brightway 25 : > pip install lca_algebraic_bw25 ## 3) [Optional] Install Jupyter & Activity Browser You may also install Jupyter and [Activity Browser](https://github.com/LCA-ActivityBrowser/activity-browser) on the same environment. **Jupyter** : > pip install jupyter **Activity Browser** can only be installed via conda/mamba. Note that it can also be installed on environment and will still be able to access and browse the projects created programmatically with *lca_algebraic* / *Brightway*. > conda install activity-browser > **NOTE** > While the inventories created in *lca_algebraic* are stored in the Brightway project, > the formulas and parameters are not compatible with **Activity Browser** > Before computing impacts with vanilla **Brightway2** or **Activity Browser**, > you may use the function [freezeParams()](https://lca-algebraic.readthedocs.io/en/stable/api/parameters.html#lca_algebraic.freezeParams) > to update the amounts in your database for a given scenario / set of parameter values. # Mailing list Please register to this dedicated mailing list to discuss the evolutions of this library and be informed of future releases : [lca_algebraic@groupes.mines-paristech.fr](https://groupes.minesparis.psl.eu/wws/subscribe/lca_algebraic) # Source code The source code is available of our {gitref}`github ` # Licence & Copyright This library has been developed by [OIE - MinesParistech](http://www.oie.mines-paristech.fr), for the project [*INCER-ACV*](https://librairie.ademe.fr/energies-renouvelables-reseaux-et-stockage/4448-incer-acv.html), lead by [ADEME](https://www.ademe.fr/). It is distributed under the {gitref}`BSD License `. # Summary ```{toctree} --- maxdepth: 2 --- Introduction api/index notebooks/index ```