Usage
WARNING: This package is still under important development, see the v1.0.0 milestone for future features, and the CHANGELOG for versioning policy.
If you have any suggestion regarding the development of this package, please open an issue.
The easiest way to install DiffeRT is through pip:
pip install differt
We provide pre-built binaries for most platforms. If you want (or need) to build the package from the source distribution, or want to customize the installation (e.g., with GPU support), check out the installation guide.
Reporting an issue
If you think you found a bug, an error in the documentation, or wish there was some feature that is currently missing, we would love to hear from you!
The best way to reach us is via the GitHub issues. If your problem is not covered by an already existing (closed or open) issue, then we suggest you create a new issue. You can choose from a list of templates, or open a blank issue if your issue does not fit one of the proposed topics.
The more precise you are in the description of your problem, the faster we will be able to help you!
If you rather have a question than a problem, then it is probably best suited to ask it in the Q&A category of the discussions.
Contributing
All types of contributions are more than welcome!
Please follow the contributing guide for a detailed step-by-step procedure.
Citing
If you use this software, please cite it as (preferred):
@inproceedings{Eertmans_DiffeRT_ICMLCN_2025,
title = {Demonstrating {DiffeRT}: An Open-Source Library for Optimizing Radio Networks with Differentiable Ray Tracing},
author = {Eertmans, Jérome and Oestges, Claude and Jacques, Laurent},
year = 2025,
booktitle = {2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)},
volume = {},
number = {},
pages = {1--2},
doi = {10.1109/ICMLCN64995.2025.11139997}
}
or:
@software{Eertmans_DiffeRT_GitHub,
title = {{DiffeRT}: A Differentiable Ray Tracing Toolbox for Radio Propagation Simulations},
author = {Eertmans, Jérome},
url = {https://github.com/jeertmans/DiffeRT},
license = {MIT},
version = {v0.11.0}
}
For other citation formats, please refer to the Cite this repository button the main page of our GitHub repository or to our Zenodo records.
Thank you for using this software and helping us!
1 maintainer
Metadata
1 maintainer
Release files for DiffeRT 0.11.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| differt-0.11.0.tar.gz | 148.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| differt-0.11.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 313.0 kB
Release files / differt-0.11.0.tar.gz
| Download URL | differt-0.11.0.tar.gz |
|---|---|
| Size | 148.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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Signed by GitHub Actions, verified by PyPI on Sep 3, 2026.
Transparency logRelease files / differt-0.11.0-py3-none-any.whl
| Download URL | differt-0.11.0-py3-none-any.whl |
|---|---|
| Size | 164.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| 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 3, 2026.
Transparency log
