Chapter 3: Graph Visualization
List of graph visualization libraries
Graphistry brings visual graph intelligence to your big or complex data. It automatically transforms your data into interactive, visual maps built for the needs of analysts. Quickly surface relationships between events and entities with less time writing queries or wrangling data. As the first automatically GPU-accelerated platform, harness all of your data without worrying about scale, and pivot on the fly to follow anywhere your investigation leads you. Ideal for everything from security, fraud, and IT investigations to 360° views of customers and supply chains to mapping cancer mutations, Graphistry turns the potential of your data into human insight and value.
https://www.graphdracula.net/documentation/
A graph visualization application for the web.
https://graphalchemist.github.io/Alchemy/#/
Interactive visualization of networks based on Ulf Aslak's d3 web app.
https://github.com/benmaier/netwulf
https://python-textbook.pythonhumanities.com/06_sna/06_01_05_networkx_pyvis.html
multiNetX is a python package for the manipulation and visualization of multilayer networks. It is build on NetworkX
https://github.com/nkoub/multinetx
Graph drawing library for JavaScript
https://github.com/anvaka/VivaGraphJS
Interactive network visualization in Python and Dash, powered by Cytoscape.js
https://github.com/plotly/dash-cytoscape
https://dash.plotly.com/cytoscape
InteractiveGraph provides a web-based interactive visualization and analysis framework for large graph data, which may come from a GSON file, or an online Neo4j graph database. InteractiveGraph also provides applications built on the framework: GraphNavigator, GraphExplorer and RelFinder.
https://github.com/grapheco/InteractiveGraph
A visualisation tool for the creation and analysis of graphs
windows application
https://github.com/graphia-app/graphia
GPU-accelerated force graph layout and rendering
https://github.com/cosmograph-org/cosmos
https://nightingaledvs.com/how-to-visualize-a-graph-with-a-million-nodes/
igraph is a library collection for creating and manipulating graphs and analyzing networks. It is written in C and also exists as Python and R packages. There exists moreover an interface for Mathematica. The software is widely used in academic research in network science and related fields. https://igraph.org/
https://github.com/igraph
Open source, no-code, network visualization tool for graph analysis and investigation
https://github.com/cylynx/motif.gl
Apache-Age Viewer is a web based user interface that provides visualization of graph data stored in a postgreSQL database with AGE extension. It is graph visualisation tool, for Apache AGE.
https://github.com/apache/age-viewer
Create a Gephi Citation Graph based on Text Analysis of PDFs from Zotero
https://github.com/jaks6/citation_map
Large graphs analysis, drawing and visualization framework
https://github.com/Tulip-Dev/tulip
This project is about 3D graph visualization with WebGL. The aim of this project is to evaluate the possibilities of graph drawing in WebGL.
It uses Three.js for drawing and currently supports a force directed layout.
https://github.com/davidpiegza/Graph-Visualization