lca-algebraic


Namelca-algebraic JSON
Version 1.1.2 PyPI version JSON
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home_pagehttps://github.com/oie-mines-paristech/lca_algebraic/
SummaryThis library provides a layer above brightway2 for defining parametric models and running super fast LCA for monte carlo analysis.
upload_time2024-06-26 14:20:11
maintainerNone
docs_urlNone
authorOIE - Mines ParisTech
requires_pythonNone
licenseBSD
keywords lca brightway2 monte-carlo parametric
VCS
bugtrack_url
requirements tabulate ipywidgets pandas seaborn sympy nbformat nbconvert numpy matplotlib scipy brightway2 ipython SALib tqdm python-dotenv pypardiso pyarrow
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Introduction

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) 

# Installation

We don't provide conda package anymore.

This packages is available via [pip /pypi](https://pypi.org/project/lca-algebraic/)

## 1) Setup separate environement

First create a python environment, with **Python** [>=3.9] :

**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 

## 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 a separate Python env and will 
still be able to access and browse the projects created programmatically with *lca_algebraic* / *Brightway*.  
> conda install activity-browser


# 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 [BSD License](./LICENSE)

# 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)


# Documentation

Full documentation and example notebooks are [hosted on **readthedocs**](https://lca-algebraic.readthedocs.io/)

            

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