Welcome to foxes
Overview
The software foxes is a modular wind farm simulation and wake modelling toolbox which is based on engineering wake models. It has many applications, for example
- Wind farm optimization, e.g. layout optimization or wake steering,
- Wind farm post-construction analysis,
- Wake model studies, comparison and validation,
- Wind farm simulations invoking complex model chains.
The fast performance of foxes is owed to vectorization and parallelization,
and it is intended to be used for large wind farms and large timeseries inflow data.
The parallelization on local or remote clusters is supported, based on
mpi4py or
dask.distributed.
The wind farm
optimization capabilities invoke the foxes-opt package which
as well supports vectorization and parallelization.
foxes is build upon many years of experience with wake model code development at IWES, starting with the C++ based in-house code flapFOAM (2011-2019) and the Python based direct predecessor flappy (2019-2022).
Documentation: https://fraunhoferiwes.github.io/foxes
Source code: https://github.com/FraunhoferIWES/foxes
PyPi reference: https://pypi.org/project/foxes/
Anaconda reference: https://anaconda.org/conda-forge/foxes
Citation
Please cite the JOSS paper "FOXES: Farm Optimization and eXtended yield Evaluation Software"
Bibtex:
@article{
Schmidt2023,
author = {Jonas Schmidt and Lukas Vollmer and Martin Dörenkämper and Bernhard Stoevesandt},
title = {FOXES: Farm Optimization and eXtended yield Evaluation Software},
doi = {10.21105/joss.05464},
url = {https://doi.org/10.21105/joss.05464},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {86},
pages = {5464},
journal = {Journal of Open Source Software}
}
Requirements
The supported Python versions are Python 3.10...3.13.
Installation
Either install via pip:
pip install foxes
Alternatively, install via conda:
conda install foxes -c conda-forge
Usage
For detailed examples of how to run foxes, check the examples and notebooks folders in this repository. A minimal running example is the following, based on provided static csv data files:
import foxes
if __name__ == "__main__":
states = foxes.input.states.Timeseries(
"timeseries_3000.csv.gz", ["WS", "WD", "TI", "RHO"]
)
farm = foxes.WindFarm()
foxes.input.farm_layout.add_from_file(
farm, "test_farm_67.csv", turbine_models=["NREL5MW"]
)
algo = foxes.algorithms.Downwind(farm, states, ["Jensen_linear_k007"])
farm_results = algo.calc_farm()
print(farm_results)
Testing
For testing, please clone the repository and install the required dependencies:
git clone https://github.com/FraunhoferIWES/foxes.git
cd foxes
pip install -e .[test]
The tests are then run by
pytest tests
Contributing
- Fork foxes on github.
- Create a branch (
git checkout -b new_branch) - Commit your changes (
git commit -am "your awesome message") - Push to the branch (
git push origin new_branch) - Create a pull request here
Acknowledgements
The development of foxes and its predecessors flapFOAM and flappy (internal - non public) has been supported through multiple publicly funded research projects. We acknowledge in particular the funding by the Federal Ministry of Economic Affairs and Climate Action (BMWK) through the projects Smart Wind Farms (grant no. 0325851B), GW-Wakes (0325397B) and X-Wakes (03EE3008A), as well as the funding by the Federal Ministry of Education and Research (BMBF) in the framework of the project H2Digital (03SF0635). We furthermore acknowledge funding by the Horizon Europe project FLOW (Atmospheric Flow, Loads and pOwer for Wind energy - grant id 101084205) and AIRE (EU Program Horizon Europe, grant agreement 101083716).
1 maintainer
Metadata
1 maintainer
Release files for foxes 1.9.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| foxes-1.9.5.tar.gz | 3.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| foxes-1.9.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.7 MB
Release files / foxes-1.9.5.tar.gz
| Download URL | foxes-1.9.5.tar.gz |
|---|---|
| Size | 3.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d9915a7695460334563dc0bff2830c600131a68a9b9f04990e76e7d502b9fb76
|
|
BLAKE2b-256 checksum How to use checksums |
23f70e1781fb8e7ed2245c1576de757fe40c4f67102d6a9bd722b7480641142d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 18, 2026.
Transparency logRelease files / foxes-1.9.5-py3-none-any.whl
| Download URL | foxes-1.9.5-py3-none-any.whl |
|---|---|
| Size | 3.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4fb53170691e0cc1fdb3d294718d87a624af8c6a4a699079530034b09f7a86b3
|
|
BLAKE2b-256 checksum How to use checksums |
dcb3d709fae59d6b21c005235d335ed00917bdf2d2d03cfea38ca948a56b354f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 18, 2026.
Transparency log
