Skip to main content

Object Oriented Microwave Engineering

Project description

Code Testing Documentation Status Coverage Status License

PyPI - Downloads Conda Downloads

Description

scikit-rf_logo

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

PyPI version Conda-forge version Conda version

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 Slack Matrix

  • 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!

skrfshirt

License

scikit-rf is permissively licensed under a 3-clause BSD license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scikit-rf-0.32.0.tar.gz (833.7 kB view details)

Uploaded Source

Built Distribution

scikit_rf-0.32.0-py3-none-any.whl (879.5 kB view details)

Uploaded Python 3

File details

Details for the file scikit-rf-0.32.0.tar.gz.

File metadata

  • Download URL: scikit-rf-0.32.0.tar.gz
  • Upload date:
  • Size: 833.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.1

File hashes

Hashes for scikit-rf-0.32.0.tar.gz
Algorithm Hash digest
SHA256 c5c4650e2360b6a98cdd1cf9c4d353934e5ac533738ec6a068f7bca76a53b65b
MD5 fc7fd1eb6b7c08eeacb1594fe00cc279
BLAKE2b-256 02ad22a5c9bcc95c11ee5b5fe6979ba70461cd9cd4bc23a7bf85c77c9ec12d55

See more details on using hashes here.

File details

Details for the file scikit_rf-0.32.0-py3-none-any.whl.

File metadata

  • Download URL: scikit_rf-0.32.0-py3-none-any.whl
  • Upload date:
  • Size: 879.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.1

File hashes

Hashes for scikit_rf-0.32.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e5daa5946093ca6ff50db4ab8a2bfd7b5199953e9e83919cda7e72770193750e
MD5 1fef1e55651f7abc13a8eb88945bdc46
BLAKE2b-256 5ffd89d8a818dcfd843a1e104ac4b579299f6405b7ecad40cf621b845416fece

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page