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,visa]
# Run the apps
data-grabber # Run the data-grabber application
multiline-trl # Run the multiline-trl application

Questions or comments? Ask the Community

Matrix LinkedIn

Contributing to the scikit-rf project

There is multiple ways to contribute to an open-source project like scikit-rf!

skrfshirt

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.

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-1.10.0.tar.gz (575.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

scikit_rf-1.10.0-py3-none-any.whl (624.0 kB view details)

Uploaded Python 3

File details

Details for the file scikit_rf-1.10.0.tar.gz.

File metadata

  • Download URL: scikit_rf-1.10.0.tar.gz
  • Upload date:
  • Size: 575.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.28 {"installer":{"name":"uv","version":"0.9.28","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

Hashes for scikit_rf-1.10.0.tar.gz
Algorithm Hash digest
SHA256 41330d89bd06e5a39f0796b2bf6c363ca35d22193f54759a68338c129a426200
MD5 4a5838534ab22dac485883113bb2088d
BLAKE2b-256 253ae4f2c83d4a1fd29028d00227a965df5228adaa70aacbb4ce94936e2e2db8

See more details on using hashes here.

File details

Details for the file scikit_rf-1.10.0-py3-none-any.whl.

File metadata

  • Download URL: scikit_rf-1.10.0-py3-none-any.whl
  • Upload date:
  • Size: 624.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.28 {"installer":{"name":"uv","version":"0.9.28","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

Hashes for scikit_rf-1.10.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6278c38142e8329af5dafccd8325579099b97df62744357c1fb98d0ee7e8f594
MD5 3378e7c335d37c19480f4f5489addcd1
BLAKE2b-256 66a2b8fce2f1096854b1b2cb87dfd337c5d954e3b0030b7f85318bc1e2c7fe94

See more details on using hashes here.

Supported by

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