## Using Python and Processing to create art

Using Python (Matplotlib) and Processing to create art.

Using Python (Matplotlib) and Processing to create art.

Visualize the relationship between Docker networks and containers as a neat graphviz graph.

Gaphas is a library that provides the user interface component (widget) for drawing diagrams.

This is a Python library to easily experiment with Deep Graph Networks (DGNs).

Embedded Graph Database for Python.

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

This arranges points on an image for halftoning, using the circles themselves, dots at their centers, or lines connecting the circles.

bqplot is a 2-D visualization system for Jupyter, based on the constructs of the Grammar of Graphics.

Vector graphics are widely used to represent fonts, logos, digital artworks, and graphic designs.

A Python Embedded Graph Database.

A numpy geometry class and functions that work with arcpy and ESRI featureclasses is provided here to facilitate working with vector geometry using the ndarray as its base.

Create, manipulate and convert representations of position and orientation in 2D or 3D using Python.

Gaphor is a UML and SysML modeling application written in Python.

pygraphblas is a Python wrapper around the GraphBLAS API.

Gated Graph Transformers for graph-level property prediction, i.e. graph classification and regression.

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

AutoGL is developed for researchers and developers to quickly conduct autoML on the graph datasets & tasks.

MolecularGraph.jl is a graph-based molecule modeling and chemoinformatics analysis toolkit fully implemented in Julia.

This package is an add-on to ggplot2, the R package for creating awesome graphics, which is based on The Grammar of Graphics.

Attribution is one tool in the interpretability toolkit that provides ranked importance values on an input (x) in relation to an output (y).