RadiationPatterns.jl is a Julia package designed for visualizing radiation patterns using PlotlyJS.jl.

FishTank.jl creates an e-fish for you in case you feel lonely when you are coding.

VoxelModel.jl is a Julia module for creating, manipulating, and visualizing 3D voxel geometries.

PlotlyGeometries.jl is a Julia package designed for creating and manipulating 3D geometrical shapes and visualizations using PlotlyJS.jl.

-

Graphical User Interface for MAGEMin, which runs in your web-browser.

Geospatial Visualization in Julia via Kepler.gl

A light-weight Julia package to read and plot Google Scholar citation information

Bundle your Julia application

-

Antenna data import and processing.

Interactive examples for different geodynamic problems

Advanced exports management for AutomationLabs.jl

DNA Motif discovery that includes the discovery of flexible (long or gapped) motifs.

The julia library for the peccon project

Plots of signaling pathways

-

Extension Repository for the simulation of Hybrid Energy Systems with PowerSimulations.jl

-

-

Tools to pick data in an interactive manner

This package provides functionality to define and evaluate B-spline and NURBS (non-uniform rational B-spline) basis functions, their derivatives, as well as curves and surfaces based on both considered basis functions.

Package to simulate the operation of Storage Systems

Methods to generate matrix representations of power systems matrices

Deep Unfolded Convolutional Dictionary Learning for motif discovery.

Warehouse for dynamical systems identification and control

A powerful, no code solution for control and systems engineering

This package connects PowerSimulation results to Marmot for plotting system results

-

Analytic routines for power system simulation results in the Sienna ecosystem

A dynamically-structured matrix population model

-

General Relativistic Orbital Dynamics in Julia

Using a population of profiles to approximate the real motifs

-

-

Collection of Power Flow solution methods based on PowerSystems.jl

-

Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.

A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters