Science Score: 59.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 9 DOI reference(s) in README -
✓Academic publication links
Links to: sciencedirect.com, springer.com, wiley.com, acs.org -
✓Committers with academic emails
2 of 2 committers (100.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.8%) to scientific vocabulary
Keywords
Repository
Python package for life cycle optimization
Basic Info
- Host: GitHub
- Owner: flechtenberg
- License: bsd-3-clause
- Language: Jupyter Notebook
- Default Branch: master
- Homepage: https://flechtenberg.github.io/pulpo/
- Size: 11.8 MB
Statistics
- Stars: 22
- Watchers: 2
- Forks: 6
- Open Issues: 6
- Releases: 3
Topics
Metadata Files
README.md
Python-based User-defined Lifecycle Production Optimization
[](https://jupyter.org/) [](https://www.python.org/) [](https://www.markdownguide.org/) [](https://github.com/flechtenberg/pulpo/blob/main/LICENSE) [](https://github.com/flechtenberg/pulpo/commits/main) [](https://github.com/flechtenberg/pulpo/pulse) [](https://pypi.org/project/pulpo-dev/) [](https://github.com/flechtenberg/pulpo/stargazers) [](https://renkulab.io/v2/projects/fabian/pulpo-test/sessions/01JRM54S4NKMS84Y6BAYT832WH/start)📍 Overview
This is a python package for Life Cycle Optimization (LCO) based on life cycle inventories. pulpo is intended to serve as a platform for optimization tasks of varying complexity.
The package builds on top of the Brightway LCA framework as well as the optimization modeling framework Pyomo.
✨ Capabilities
Applying optimization is recommended when the system of study has (1) many degrees of freedoms which would prompt the manual assessment of a manifold of scenarios, although only the "optimal" one is of interest and/or (2) any of the following capabilities makes sense within the goal and scope of the study:
- Specify technology and regional choices throughout the entire supply chain (i.e. fore- and background), such as choices for the production technology of electricity or origin of metal resources. Consistently accounting for changes in the background in "large scale" decisions can be significant.
- Specify constraints on any activity in the life cycle inventories, which can be interpreted as tangible limitations such as raw material availability, production capacity, or environmental regulations.
- Optimize for or constrain any impact category for which the characterization factors are available.
- Specify supply values instead of final demands, which can become relevant if only production values are available (e.g. here).
The following features are currently under development:
- [ ]
ℹ️ Optimization under uncertainty [chance-constraints, stochastic optimization ...]- [ ]
ℹ️ Multi-objective optimization [bi-objective epsilon constrained, goal programming ...][ ]
ℹ️ Integration of economic and social indicators in the optimization problem formulation[X]
ℹ️ Development of a GUI for simple optimization tasksLink[X]
ℹ️ Enable PULPO to work on both bw2 and bw25 projects[X]
ℹ️ Thorough documentation hosted on flechtenberg.github.io/pulpo/
Feature requests are more than welcome!
🔧 Installation
PULPO has been deployed to the pypi index. Depending on the version of brightway projects you want to work on, install either the bw2 or bw25 version via:
sh
pip install pulpo-dev[bw2]
or
sh
pip install pulpo-dev[bw25]
🤖 Running pulpo
Use this link to start a session and test PULPO
Find further example notebooks for a hydrogen case, an electricity case, and a plastic case here.
There is also a workshop repository (here), which has been created for the Brightcon 2024 conference. It contains several notebooks that guide you through the PULPO package and its functionalities, as well as an exercise.
🧪 Tests
Calling from the package folder:
sh
python -m unittest discover -s tests
What's new in 1.4.2?
- Enable the use of gurobi solver
What's new in 1.4.0?
- Enable the use of NEOS solver (commercial solvers without license)
- Enable Monte-Carlo sampling feature
- Retrieve uncertainty information to
lci_datafor future use
What's new in 1.3.0?
- Switch packaging logic from setup.py to pyproject.toml and align pypi with Github versioning number
🤝 Contributing
Contributions are very welcome. If you would like to request a feature or report a bug please open an Issue. If you are confident in your coding skills don't hesitate to implement your suggestions and send a Pull Request.
📄 License
This project is licensed under the ℹ️ BSD 3-Clause License. See the LICENSE file for additional info.
Copyright (c) 2025, Fabian Lechtenberg. All rights reserved.
👏 Acknowledgments
We would like to express our gratitude to the authors and contributors of the following main packages that PULPO is based on:
In addition, we acknowledge the pioneering ideas and contributions from the following works:
Follow-up work, incorporating features such as top-down matrix construction for the use of entire life cycle inventory databases and supply specification, was implemented in PULPO and culminated in the following publication, which details the approach and outlines its implementation:
Fabian Lechtenberg, Robert Istrate, Victor Tulus, Antonio Espuña, Moisès Graells, and Gonzalo Guillén‐Gosálbez.
“PULPO: A Framework for Efficient Integration of Life Cycle Inventory Models into Life Cycle Product Optimization.”
Journal of Industrial Ecology, October 10, 2024.
https://doi.org/10.1111/jiec.13561
This article is to be cited / referred to if PULPO is used to derive results of a publication or project.
Authors
- @vtulus
Owner
- Name: Fabian Lechtenberg
- Login: flechtenberg
- Kind: user
- Location: Barcelona
- Company: Universitat Politècnica de Catalunya
- Repositories: 1
- Profile: https://github.com/flechtenberg
GitHub Events
Total
- Issues event: 12
- Watch event: 6
- Delete event: 16
- Issue comment event: 6
- Member event: 1
- Push event: 55
- Pull request event: 17
- Fork event: 5
- Create event: 19
Last Year
- Issues event: 12
- Watch event: 6
- Delete event: 16
- Issue comment event: 6
- Member event: 1
- Push event: 55
- Pull request event: 17
- Fork event: 5
- Create event: 19
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Fabian Lechtenberg | f****g@u****u | 73 |
| flechtenberg | f****g@c****h | 60 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 11
- Total pull requests: 26
- Average time to close issues: 27 days
- Average time to close pull requests: 1 day
- Total issue authors: 3
- Total pull request authors: 1
- Average comments per issue: 0.45
- Average comments per pull request: 0.0
- Merged pull requests: 26
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 11
- Pull requests: 17
- Average time to close issues: 27 days
- Average time to close pull requests: 1 day
- Issue authors: 3
- Pull request authors: 1
- Average comments per issue: 0.45
- Average comments per pull request: 0.0
- Merged pull requests: 17
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- flechtenberg (9)
- Blowgren (1)
- jacopocipriani (1)
Pull Request Authors
- flechtenberg (29)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 329 last-month
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 19
- Total maintainers: 1
proxy.golang.org: github.com/flechtenberg/pulpo
- Documentation: https://pkg.go.dev/github.com/flechtenberg/pulpo#section-documentation
- License: bsd-3-clause
-
Latest release: v1.4.2
published 9 months ago
Rankings
pypi.org: pulpo-dev
Pulpo package for optimization in LCI databases
- Documentation: https://pulpo-dev.readthedocs.io/
- License: bsd-3-clause
-
Latest release: 1.4.1
published 9 months ago