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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file scikit_rf-2.1.0.tar.gz.
File metadata
- Download URL: scikit_rf-2.1.0.tar.gz
- Upload date:
- Size: 617.6 kB
- Tags: Source
- Uploaded using 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}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f9aa5b25777d26d8b8f06a3f7d9f95795786ce496bbaf9121047dc412b974d3f
|
|
| MD5 |
8b1c2da85e4aff188dbc59d0be0b168a
|
|
| BLAKE2b-256 |
9cb213c0ea0f4a015e7e9b1cbee3cede611c76561400aa988acb0692643068df
|
File details
Details for the file scikit_rf-2.1.0-py3-none-any.whl.
File metadata
- Download URL: scikit_rf-2.1.0-py3-none-any.whl
- Upload date:
- Size: 667.1 kB
- Tags: Python 3
- Uploaded using 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}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d963709b101d90e66172ba889e7377cb68f1ad78fe494a1b5b32b242b54a32c0
|
|
| MD5 |
f6282a42da8d617b2614e8c47503f3e0
|
|
| BLAKE2b-256 |
9a4cf9f754511c46ab1057618c3ec5508bbc95bf1b7d1d1194f4c3f4ed1739ee
|
