Object Oriented Microwave Engineering
Project description
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,qtapps,visa]
# Run the apps
data-grabber # Run the data-grabber application
multiline-trl # Run the multiline-trl application
Questions or comments? Ask the Community
- Mailing list: You can suscribe to our mailing list to ask (and answer) questions and to receive 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!
License
scikit-rf is permissively licensed under a 3-clause BSD license.
Release history Release notifications | RSS feed
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
File details
Details for the file scikit-rf-0.25.0.tar.gz.
File metadata
- Download URL: scikit-rf-0.25.0.tar.gz
- Upload date:
- Size: 31.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 69e887b5845e4db68a95202bc327efbf2180714a18fc6758b2752989f8d24a77 |
|
| MD5 | 5b7edb10e29d19e3c5aeabd70c56b05e |
|
| BLAKE2b-256 | cc375d6d0d36c6c27a1b8cee84aa38a40c265e6e65964378d6d797e451d9346a |
File details
Details for the file scikit_rf-0.25.0-py3-none-any.whl.
File metadata
- Download URL: scikit_rf-0.25.0-py3-none-any.whl
- Upload date:
- Size: 3.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 29f85b6e656f34942aa60eb071128ab90ea85e694885bb3561c3c6e927281565 |
|
| MD5 | 3802fea8fd5f5bd7fc386f5f2f7ea66f |
|
| BLAKE2b-256 | cca6856c88d73854144b49641bd2558e7a16675c9a4448baf30f541accec3bfb |
