Skip to main content

Welcome to FOXES

FOXES Logo

Overview

Farm Optimization and eXtended yield Evaluation Software

FOXES is a modular Python package for wind-farm and wake modelling by Fraunhofer IWES. Typical applications include:

  • 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.

FOXES uses vectorized calculations and supports local or distributed execution. Wind-farm optimization is provided by the separate foxes-opt package.

Resource Link
Documentation https://fraunhoferiwes.github.io/foxes
Source code https://github.com/FraunhoferIWES/foxes
PyPI https://pypi.org/project/foxes/
conda-forge https://anaconda.org/conda-forge/foxes
License MIT

Ask DeepWiki

Citation

Please cite the JOSS paper "FOXES: Farm Optimization and eXtended yield Evaluation Software".

DOI

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

Requires Python 3.10 through 3.14.

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
uv sync --extra test

Run the tests with:

uv run pytest tests

For the full development setup, see the development guide.

Contributing

  1. Fork foxes on github.
  2. Create a branch (git checkout -b new_branch)
  3. Commit your changes (git commit -am "your awesome message")
  4. Push to the branch (git push origin new_branch)
  5. Create a pull request here

Acknowledgements

Development of FOXES was supported by:

  • BMWK projects Smart Wind Farms (0325851B), GW-Wakes (0325397B), and X-Wakes (03EE3008A)
  • BMBF project H2Digital (03SF0635)
  • Horizon Europe projects FLOW (101084205) and AIRE (101083716)

Metadata

Release files for foxes 1.9.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for foxes 1.9.7
File Size Uploaded
foxes-1.9.7.tar.gz 1.9 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for foxes 1.9.7
File Interpreter ABI Platform
foxes-1.9.7-py3-none-any.whl Python 3 none any Details

Total release size: 4.0 MB

Release files / foxes-1.9.7.tar.gz

Download URL foxes-1.9.7.tar.gz
Size 1.9 MB
Tags Source
SHA-256 checksum
How to use checksums
2eb00ae6b2e865469276101cddb155cbb742463619a7e4f3f00ff77c557b208f
BLAKE2b-256 checksum
How to use checksums
1e5a016cbd875fafd391983237e954ffdf5d791870c819a33f19c0dea8ec77ab
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 Oct 8, 2026.

Transparency log

Release files / foxes-1.9.7-py3-none-any.whl

Download URL foxes-1.9.7-py3-none-any.whl
Size 2.1 MB
Tags Python 3
SHA-256 checksum
How to use checksums
f0a6bf8d147faf8d09c4e60cb77d09104751d16a1ef2d9cef9a925dc6ed3a5fc
BLAKE2b-256 checksum
How to use checksums
f05260ac32c4551a5a8920ecdafa902fae3f7d0103e3d5d2dfb705974235bf8b
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 Oct 8, 2026.

Transparency log

Release history Release notifications | RSS feed

1.9.8

2 release files

This release

1.9.7 This release

2 release files

1.9.6

2 release files

1.9.5

2 release files

1.9.4

2 release files

1.9.3

2 release files

1.9.2

2 release files

1.9.1

2 release files

1.9.0

2 release files

1.8.3

2 release files

1.8.2

2 release files

1.8.1

2 release files

1.8.0

2 release files

1.7.6

2 release files

1.7.5

2 release files

1.7.4

2 release files

1.7.3

2 release files

1.7.2

2 release files

1.7.1

2 release files

1.7.0

2 release files

1.6.2

2 release files

1.6.1

2 release files

1.6

2 release files

1.5.2

2 release files

1.5.1

2 release files

1.5

2 release files

1.4

2 release files

1.3

2 release files

1.2.5

2 release files

1.2.4

2 release files

1.2.3

2 release files

1.2.2

2 release files

1.2.1

2 release files

1.2

2 release files

1.1.1

2 release files

1.0

2 release files

0.8.2

2 release files

0.8.1

2 release files

0.8

2 release files

0.7.4

2 release files

0.7.3

2 release files

0.7.2

2 release files

0.7.1

2 release files

0.7

2 release files

0.6.2

2 release files

0.6.1

2 release files

0.6

2 release files

0.5.2

2 release files

0.5.1

2 release files

0.5

2 release files

0.4.5

2 release files

0.4.3

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.5

2 release files

0.3.4

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.6

2 release files

0.2.5

2 release files

0.2.4

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page