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[](https://timex.readthedocs.io/en/latest/)
[](https://pypi.org/project/timex-lca/)
[](https://anaconda.org/diepers/timex_lca)
> ℹ️ _This package is still under development and some functionalities may change in the future._
This is a python package for time-explicit Life Cycle Assessment that helps you assess the environmental impacts of products and processes over time. `timex_lca` builds on top of the [Brightway LCA framework](https://docs.brightway.dev/en/latest).
## 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 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-explicit databases. The resulting time-explicit LCI reflects the current technology status within the production system at the actual time of each process. Also, `timex_lca` keeps track of the timing of emissions which means that you can apply dynamic characterization functions.
## Use cases:
`timex_lca` is ideal for cases with:
- **Variable** or strongly **evolving production systems**
- **Long-lived** products
- **Biogenic** carbon
## Documentation and Resources:
- [Full Documentation](https://timex.readthedocs.io/en/latest/)
- [Installation Guide](https://timex.readthedocs.io/en/latest/content/installation.html)
- [Example Notebook](https://github.com/TimoDiepers/timex/blob/main/notebooks/example_setac.ipynb)
## Contributing:
We welcome contributions! If you have suggestions or want to fix a bug, please:
- [Open an Issue](https://github.com/TimoDiepers/timex/issues)
- [Send a Pull Request](https://github.com/TimoDiepers/timex/pulls)
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