PantheR's GraphX for .NET

  •        205

PantheR's GraphX for .NET is an advanced graph layout generation library based on Graph# algorithmic blueprints.



Related Projects

neo4j-mazerunner - Mazerunner extends a Neo4j graph database to run scheduled big data graph compute algorithms at scale with HDFS and Apache Spark

This docker image adds high-performance graph analytics to a Neo4j graph database. This image deploys a container with Apache Spark and uses GraphX to perform ETL graph analysis on subgraphs exported from Neo4j. The results of the analysis are applied back to the data in the Neo4j database. The Neo4j Mazerunner service in this image is a unmanaged extension that adds a REST API endpoint to Neo4j for submitting graph analysis jobs to Apache Spark GraphX. The results of the analysis are applied back to the nodes in Neo4j as property values, making the results queryable using Cypher.

g6 - A Graph Visualization Framework in JavaScript

G6 is a graph visualization framework. It provides a set of base mechanisms, help developers to build your own graph visualization analysis application or graph visualization edit application.

ngx-graph - Graph visualization library for angular

This library is focused on handling graph data (anything with nodes and edges) rather than chart data. Currently the only visualization uses the Dagre layout, which is specialized for directed graphs. The plan is to implement multiple visualisations for graph data within this same library. Eventually, ngx-charts-force-directed-graph may be imported into this library as another option to visualize your graph data. ngx-graph is a Swimlane open-source project; we believe in giving back to the open-source community by sharing some of the projects we build for our application. Swimlane is an automated cyber security operations and incident response platform that enables cyber security teams to leverage threat intelligence, speed up incident response and automate security operations.

vizceral - WebGL visualization for displaying animated traffic graphs

Intuitive animated traffic graph visualization using webgl. If a graph of nodes and edges with data about traffic volume is provided, it will render a traffic graph animating the connection volume between nodes.

DiagrammeR - Graph and network visualization using tabular data in R

With the DiagrammeR package you can create, modify, analyze, and visualize network graph diagrams. The output can be incorporated into RMarkdown documents, integrated with Shiny web apps, converted to other graph formats, or exported as image files. This package is made possible by the htmlwidgets R package, which provides an easy-to-use framework for bringing together R and JavaScript.

Suvi: A Graph Visualization Framework

Suvi is a Java-library for graph visualization and a framework for developing graph visualization algorithms.

ruby-heap-viz - An interactive Ruby Object Graph Visualization

Ruby Heap Viz is an interactive Ruby object graph visualization. Use IRB and watch how Ruby's object graph responds! This is intended to a) be fun and b) serve as a learning tool for people to learn about objects, references and garbage collection. This visualization is used at Dev Bootcamp during our unit on Ruby and its memory model.

ggraph - Grammar of Graph Graphics

ggraph is an extension of ggplot2 aimed at supporting relational data structures such as networks, graphs, and trees. While it builds upon the foundation of ggplot2 and its API it comes with its own self-contained set of geoms, facets, etc., as well as adding the concept of layouts to the grammar. All of the tree concepts has been discussed in detail in dedicated blog posts that are also available as vignettes in the package. Please refer to these for more information.

Graph Visualization Framework

The Graph Visualization Framework is a set of Java 2 packages that can serve as a foundation for applications that manipulate or visualize graph structures. quot;Royerequot; is built on the GVF and includes XML support, SVG output, pluggable layouts, editing.

graphx - Former GraphX development repository

You can find the latest Spark documentation, including a programming guide, on the project webpage at This README file only contains basic setup instructions. Or, for the Python API, the Python shell (./bin/pyspark).

jGraphT - Java graph library

JGraphT is a Java graph library that provides mathematical graph-theory objects and algorithms. It includes directed, undirected, weighted, unweighted etc. Graphs could be created based on Strings, URLs, XML documents.

dependo - Visualize your CommonJS or AMD module dependencies in a force directed graph report.

Visualize your CommonJS, AMD, or ES6 module dependencies in a force directed graph report - powered by D3.js. Let me introduce dependo - A small visualization tool that draws an force directed graph of JavaScript dependencies pulled from a codebase of CommonJS, AMD, or ES6. Behind the scene I’m using a wonderful library named node-madge, to extract the dependencies and combined with the power of D3.js I draw a beautiful zoomable directed graph.

networkx - Official NetworkX source code repository.

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. For additional details, please see INSTALL.rst.


Cytoscape.js is a fully featured graph theory library. Do you need to model and/or visualise relational data, like biological data or social networks? If so, Cytoscape.js is just what you need. Cytoscape.js contains a graph theory model and an optional renderer to display interactive graphs. This library was designed to make it as easy as possible for programmers and scientists to use graph theory in their apps, whether it's for server-side analysis in a Node.js app or for a rich user interface.

arbor - a graph visualization library using web workers and jQuery

a graph visualization library using web workers and jQuery

OpenSceneGraph - 3D graphics toolkit

The OpenSceneGraph is an open source high performance 3D graphics toolkit, used by application developers in fields such as visual simulation, games, virtual reality, scientific visualization and modelling. It is based around the concept of a SceneGraph, providing an object-oriented framework on top of OpenGL. This frees the developer from implementing and optimizing low-level graphics calls and provides many additional utilities for rapid development of graphics applications.

tensorboard - Standalone TensorBoard for visualizing in deep learning

TensorBoard is a suite of web applications for inspecting and understanding your TensorFlow runs and graphs. TensorBoard currently supports five visualizations: scalars, images, audio, histograms, and the graph.This README gives an overview of key concepts in TensorBoard, as well as how to interpret the visualizations TensorBoard provides. For an in-depth example of using TensorBoard, see the tutorial: TensorBoard: Visualizing Learning. For in-depth information on the Graph Visualizer, see this tutorial: TensorBoard: Graph Visualization.