lca-algebraic

v1.1.2

This library provides a layer above brightway2 for defining parametric models and running super fast LCA for monte carlo analysis. For more information about how to use this package see README

Latest version published 5 months ago

License: BSD-2-Clause

PyPI

GitHub

Package Health Score

55 / 100

security
Security review needed
popularity
Limited
maintenance
Sustainable
community
Limited

Popularity

Limited

GitHub Stars: 37
Forks: 18
Contributors: 5

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package lca-algebraic, we found that it has been starred 37 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jun 26, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 1
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9
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-2-Clause

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 23
Open PR: 6
Last Release: 5 months ago
Last Commit: 5 months ago

Further analysis of the maintenance status of lca-algebraic based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that lca-algebraic demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 5
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like lca-algebraic is missing a Code of Conduct.

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Package

Python Versions Compatibility: Unspecified

Age: 5 years
Latest Release: 5 months ago
Dependencies: 11 Direct / 95 Total
Versions: 22
Maintainers: 1
Wheels: OS Independent

Readme

Introduction

This library is a layer above brightway2 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 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

1) Setup separate environement

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

With Conda (or mamba)

conda create -n lca python==3.10
conda activate lca

With virtual env

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 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, for the project INCER-ACV, lead by ADEME.

It is distributed under the BSD 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

Documentation

Full documentation and example notebooks are hosted on readthedocs

lca-algebraic dependencies

brightway2 deprecation ipywidgets matplotlib pandas pyarrow pypardiso salib seaborn sympy tabulate

FAQs

What is lca-algebraic?

This library provides a layer above brightway2 for defining parametric models and running super fast LCA for monte carl... Visit Snyk Advisor to see a full health score report for lca-algebraic, including popularity, security, maintenance & community analysis.

Is lca-algebraic popular?

The python package lca-algebraic receives a total of 227 weekly downloads. As such, lca-algebraic popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is lca-algebraic well maintained?

We found indications that lca-algebraic maintenance is sustainable demonstrating some project activity. We saw a total of 5 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is lca-algebraic safe to use?

While scanning the latest version of lca-algebraic, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 16 November-2024, at 20:10 (UTC).

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