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timex_lca

A Python package for time-explicit Life Cycle Assessment that helps you assess the environmental impacts of products and processes over time.
https://github.com/brightway-lca/bw_timex

Category: Industrial Ecology
Sub Category: Life Cycle Assessment

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life-cycle-assessment

Last synced: about 22 hours ago
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Time-explicit Life Cycle Assessment

README.md

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This is a python package for time-explicit Life Cycle Assessment that helps you assess the environmental impacts of products and processes over time. bw_timex builds on top of the Brightway LCA framework.

✨ Features

This package enables you to account for:

  • Timing of processes throughout the supply chain (e.g., end-of-life treatment occurs 20 years after construction)
  • Variable and/or evolving supply chains & technologies (e.g., increasing shares of renewable electricity or higher process efficiencies in the future)
  • Timing of emissions (by applying dynamic characterization functions)

You can define temporal distributions for process and emission exchanges, which are then automatically propagated through the supply chain and mapped to corresponding time-specific background databases. In addition, you can also define the temporal evolution of processes and emission exchanges, which applies a time-dependent modification to the exchange amounts compared to the original amounts. The resulting time-explicit LCI reflects the current technology status within the production system at the actual time of each process. Also, bw_timex keeps track of the timing of emissions, which means that you can apply dynamic characterization functions.

💡 Use Cases

bw_timex is ideal for cases with:

  • Variable or strongly evolving production systems
  • Long-lived products
  • Biogenic carbon

Still unsure if you need time-explicit LCA? Overwhelmed by all the options? Check out our decision tree for some guidance.

👩‍💻 Getting Started

📚 Citation

If bw_timex supports your scientific work, please consider citing our companion publications:

  • The conceptual framework and formalization of time-explicit LCA are described in our methodology paper
  • The implementation of this methodology in bw_timex is covered by our JOSS paper

🤝 Contributing

We welcome contributions! If you have suggestions or want to fix a bug, please:

💬 Support

If you have any questions or need help, do not hesitate to contact us:

Citation (CITATION.cff)

cff-version: "1.2.0"
authors:
- family-names: Diepers
  given-names: Timo
  orcid: "https://orcid.org/0009-0002-8566-8618"
- family-names: Müller
  given-names: Amelie
  orcid: "https://orcid.org/0000-0001-5609-5609"
- family-names: Jakobs
  given-names: Arthur
  orcid: "https://orcid.org/0000-0003-0825-2184"
doi: 10.5281/zenodo.19230937
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: Diepers
    given-names: Timo
    orcid: "https://orcid.org/0009-0002-8566-8618"
  - family-names: Müller
    given-names: Amelie
    orcid: "https://orcid.org/0000-0001-5609-5609"
  - family-names: Jakobs
    given-names: Arthur
    orcid: "https://orcid.org/0000-0003-0825-2184"
  date-published: 2026-04-16
  doi: 10.21105/joss.09621
  issn: 2475-9066
  issue: 120
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 9621
  title: "bw_timex: A Python Package for Time-Explicit Life Cycle
    Assessment"
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.09621"
  volume: 11
title: "bw_timex: A Python Package for Time-Explicit Life Cycle
  Assessment"

Owner metadata

GitHub Events

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Last Year

Committers metadata

Last synced: 5 days ago

Total Commits: 835
Total Committers: 12
Avg Commits per committer: 69.583
Development Distribution Score (DDS): 0.334

Commits in past year: 100
Committers in past year: 5
Avg Commits per committer in past year: 20.0
Development Distribution Score (DDS) in past year: 0.35

Name Email Commits
TimoDiepers t****s@g****m 556
muelleram a****r@c****l 163
Arthur Jakobs a****s@i****e 65
Adeline Jerome a****e@c****e 16
renovate[bot] 2****] 13
copilot-swe-agent[bot] 1****t 8
cyclochlo c****r@g****m 6
Michael Weinold 2****d 2
Arthur Jakobs j****r 2
Timo Diepers t****s@M****x 2
Pingping1997 w****0@1****m 1
Sabina BEDNAROVA s****a@l****u 1

Committer domains:

Issue and Pull Request metadata

Last synced: 5 days ago

Total issues: 32
Total pull requests: 124
Average time to close issues: about 2 months
Average time to close pull requests: 11 days
Total issue authors: 8
Total pull request authors: 6
Average comments per issue: 1.38
Average comments per pull request: 0.56
Merged pull request: 65
Bot issues: 1
Bot pull requests: 46

Past year issues: 8
Past year pull requests: 38
Past year average time to close issues: 19 days
Past year average time to close pull requests: 19 days
Past year issue authors: 6
Past year pull request authors: 5
Past year average comments per issue: 2.5
Past year average comments per pull request: 0.84
Past year merged pull request: 14
Past year bot issues: 0
Past year bot pull requests: 19

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/brightway-lca/bw_timex

Top Issue Authors

  • TimoDiepers (12)
  • muelleram (7)
  • jakobsarthur (7)
  • mfastudillo (2)
  • mahajanhrishikesh (1)
  • renovate[bot] (1)
  • philmas (1)
  • rahuldevikar (1)

Top Pull Request Authors

  • TimoDiepers (59)
  • renovate[bot] (46)
  • muelleram (6)
  • jakobsarthur (6)
  • Copilot (5)
  • michaelweinold (2)

Top Issue Labels

  • bug (10)
  • enhancement (6)
  • required for paper (1)

Top Pull Request Labels

  • enhancement (1)

Package metadata

pypi.org: bw-timex

Time-explicit Life Cycle Assessment

  • Homepage:
  • Documentation: https://bw-timex.readthedocs.io/
  • Licenses: BSD License
  • Latest release: 1.0.0 (published about 2 months ago)
  • Last Synced: 2026-05-19T06:02:55.518Z (5 days ago)
  • Versions: 22
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 173 Last month
  • Rankings:
    • Dependent packages count: 10.803%
    • Downloads: 22.606%
    • Average: 31.416%
    • Dependent repos count: 60.838%
  • Maintainers (1)

Dependencies

.github/workflows/python-package-deploy.yml actions
  • actions/checkout main composite
  • astral-sh/setup-uv v7 composite
  • pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/python-test.yml actions
  • actions/checkout v6 composite
  • astral-sh/setup-uv v7 composite
  • codecov/codecov-action v5 composite
docs/environment.yaml conda
  • astroid 3.3.11
  • graphviz 11.0.0
  • ipython
  • myst-nb 1.1.0
  • myst-parser 3.0.1
  • pip
  • pydata-sphinx-theme 0.15.3
  • python 3.11
  • sphinx 7.3.7
  • sphinx-autoapi 3.0.0
  • sphinx-autobuild 2024.4.16
  • sphinx-copybutton 0.5.2
  • sphinx-design 0.5.0
  • sphinx-favicon 1.0.1
  • sphinx-notfound-page 1.0.0
  • sphinxcontrib-mermaid 0.9.2
environment.yml conda
  • bw_timex >=0.3.4
  • python 3.11
pyproject.toml pypi
  • bw-graph-tools >0.4
  • bw-temporalis >=1.1
  • bw2calc ==2.3.2
  • bw2data ==4.5.4
  • dynamic-characterization >=1.2.0
  • ipython *
  • ipywidgets *
  • loguru *
  • matplotlib *
  • numpy *
  • pandas *
  • seaborn *
  • tqdm *
uv.lock pypi
  • 142 dependencies

Score: 11.787096675394062