Description
scikit-rf (aka skrf) is an Open Source, BSD-licensed package for RF/Microwave engineering implemented
in the Python programming language. It provides a modern, object-oriented library which is both
flexible and scalable.
Install
If you have installed Python, you can install scikit-rf from pip via
python -m pip install scikit-rf
If you have installed conda, then you can also get scikit-rf from
conda install -c conda-forge scikit-rf
scikit-rf includes standalone gui applications which can be installed and used like this
# Install the additional dependencies for the gui applications
python -m pip install scikit-rf[plot,visa]
# Run the apps
data-grabber # Run the data-grabber application
multiline-trl # Run the multiline-trl application
Questions or comments? Ask the Community
- LinkedIn scikit-rf Users Group: User group to ask and answer questions and to received scikit-rf announcements.
- Chat: scikit-rf have channels on both Slack and Matrix
- Suggestion box: if you would like to suggest a feature/topic for consideration (optionally anonymous).
Contributing to the scikit-rf project
There is multiple ways to contribute to an open-source project like scikit-rf!
- Sponsoring the project
- Contributing to the code
- Contributing to the Documentation
- Getting some merchandise to express your love
Authors
The list of the developers of scikit-rf is available on the contributors page.
License
scikit-rf is permissively licensed under a 3-clause BSD license.
2 maintainers
Release files for scikit-rf 2.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scikit_rf-2.1.0.tar.gz | 617.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_rf-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.3 MB
Release files / scikit_rf-2.1.0.tar.gz
| Download URL | scikit_rf-2.1.0.tar.gz |
|---|---|
| Size | 617.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
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Release files / scikit_rf-2.1.0-py3-none-any.whl
| Download URL | scikit_rf-2.1.0-py3-none-any.whl |
|---|---|
| Size | 667.1 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.12.3 {"installer":{"name":"uv","version":"0.12.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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