Socket
Socket
Sign inDemoInstall

hvlbuzz

Package Overview
Dependencies
6
Maintainers
2
Alerts
File Explorer

Install Socket

Detect and block malicious and high-risk dependencies

Install

    hvlbuzz

Compute surface gradient of overhead power lines / prediction of audible noise and electromagnetic field at ground


Maintainers
2

Readme

logo{width=25%}

python version latest version pipeline status License Code style: black Checked with mypy Checked with pylint

HVLBuzz is a simulation tool to calculate the surface gradient of overhead power lines and predict the audible noise and electromagnetic field at ground.

InstallUsage📖 Docs

HVLBuzz

Installation

Operating SystemDownload
🪟 Windows (64 bit)
🐧 Linuxpip install hvlbuzz
🍏 Macpip install hvlbuzz

Development setup

It is recommended that you use a Python virtual envioronement to run HVLBuzz. Run the following command to create folder called kivy_venv inside which your environement will live. The latest version of Python this code has been tested with was 3.10

python -m venv kivy_venv

Activate your virtual environement by running

kivy_venv\Scripts\activate.bat # 🪟
. kivy_venv/bin/activate # 🐧 / 🍏

Then install hvlbuzz into your environement as follows

pip install .
pip install garden.matplotlib/

This will also install an executable python script in your environments bin folder.

Usage

To run the binary obtained in the install part, run

hvlbuzz

Alternatively, the module is can also be started from python:

python -m hvlbuzz

or

python hvlbuzz

Compiling your own packaged version

The source code can also be compiled by yourself using PyInstaller using the provided hvlbuzz/buzz.spec file.

pyinstaller hvlbuzz/buzz.spec

A buzz.exe binary will be available in a (newly created if non-existing) dist\buzz folder.

Credits

HVLBuzz was designed as a Student Thesis of Aldo Tobler, supervised by Sören Hedtke and Christian Franck from the High Voltage Lab (HVL), D-ITET, ETH.

This tool is completely free to use as is and only requires freely available Python libraries to run. The GUI is based on the Kivy framework, while the mathematical computations and plot generation rely the widely used NumPy and Matplotlib.

FAQs


Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc