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JUNG is a software library that provides a common and extensible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. Its basis in Java allows JUNG-based applications to make use of the extensive built-in capabilities of the Java API, as well as those of other existing third-party Java libraries.

https://github.com/jrtom/junghttp://code.google.com/p/jung

https://sourceforge.net/projects/jung/

Tags | graph graph-theory math mathematics modeling |

Implementation | Java |

License | BSD |

Platform | OS-Independent |

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.

chart tool graph visualization chart-library-java mathematics math graph-theoryJUNG provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network.

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.

cytoscapejs graph graph-theory network node edge vertex link analysis visualisation visualization draw render biojs cytoscapeThis library is built around the concept of mathematical graph theory (i.e. it is not a charting library for drawing a graph of a function). In essence, a graph is a set of nodes with any number of connections in between. In graph theory, vertices (plural of vertex) are an abstract representation of these nodes, while connections are represented as edges. Edges may be either undirected ("two-way") or directed ("one-way", aka di-edges, arcs). Depending on how the edges are constructed, the whole graph can either be undirected, can be a directed graph (aka digraph) or be a mixed graph. Edges are also allowed to form loops (i.e. an edge from vertex A pointing to vertex A again). Also, multiple edges from vertex A to vertex B are supported as well (aka parallel edges), effectively forming a multigraph (aka pseudograph). And of course, any combination thereof is supported as well. While many authors try to differentiate between these core concepts, this library tries hard to not impose any artificial limitations or assumptions on your graphs.

Until an issue with one of our dependencies is resolved, LightGraphs will not work with any Julia 0.7 or 1.0 version that has been built from source on OSX or other systems with a compiler more modern than GCC7. If you use LightGraphs with Julia 0.7 or 1.0, please download a Julia binary. LightGraphs offers both (a) a set of simple, concrete graph implementations -- Graph (for undirected graphs) and DiGraph (for directed graphs), and (b) an API for the development of more sophisticated graph implementations under the AbstractGraph type.

julia graph lightgraphs graph-theory graph-generation graph-analytics graph-algorithmsDemo project for drawing graphs based on a equation E.g F(x) = 5x^2 + 10x - 1 Just a math grapher I made to test the DynamicDataDisplay library and dynamic string evaluation

graph grapher math-parser mathematics string-evaluationWPFGraph is a tool to create animations of graph algorithms using a WPF based 3D rendering engine. You can create a graph by adding nodes and edges to the UI simply by using your mouse. Then you can execute a graph algorithm like Dijkstra on the created graph.

algorithms animation graph graph-theory wpf-3dNetworkX 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.

complex-networks graph-theory graph-algorithms graph-analysis graph-generation graph-visualizationGraph is a semantic database that is used to create data-driven applications. Embedded frameworks require a minimum deployment target of iOS 8 or OS X Yosemite (10.10).

coredata data database graph graph-theory data-driven data-driven-design data-driven-workflows semantic-database icloud icloud-sync swift-3 cosmicmindNeo4jRestSharp is a .Net client for the Neo4j Rest Server. Neo4j is an open sourced java based transactional graph database that stores data structured in graphs rather than in tables.

neo4j graph graph-database graph-theory rest restfulThe .Net Graph Library makes it easy for developers to create, traverse, analyze and solve problems related to graphs.

graph graph-theory shortest-pathAlga is a library for algebraic construction and manipulation of graphs in Haskell. See this paper for the motivation behind the library, the underlying theory and implementation details. This algebraic structure corresponds to unlabelled directed graphs: every expression represents a graph, and every graph can be represented by an expression. Other types of graphs (e.g. undirected) can be obtained by modifying the above set of laws. Algebraic graphs provide a convenient, safe and powerful interface for working with graphs in Haskell, and allow the application of equational reasoning for proving the correctness of graph algorithms.

graph algebra haskellDependency Analyzer is a utility for visualizing Maven2 dependency graphs. It is using Maven for resolving dependencies and the Java Universal Network/Graph Framework (JUNG) for visualizing the dependency graph. Spring rich client is used for building th

A static php code analysis tool using the Graph Theory

This document contains notes on category theory in the context of (functional) programming. Originally they were lecture notes for a seminar hosted at Centrum Wiskunde & Informatica, the national research centre for mathematics and computer science in the Netherlands. The main reason for compiling these notes is to provide a way to gain familiarity with concepts of category theory (and other branches of mathematics) that apply in a broad sense to the field of functional programming. The notes are written in Markdown, and pandoc is used to generate the document. Running make inside the doc directory should result in an (updated) pdf, granted that pandoc, pandoc-citeproc and a LaTeX environment are installed.

mathematics category-theory functional-programming lecture-notesAn awesome list of resources to construct, analyze and visualize network data. Inspired by Awesome Deep Learning, Awesome Math and others.

network-analysis network-visualization complex-networks political-networks semantic-networks graph-theory disease-networks network-science social-networks social-network-analysis historical-networks sna awesome-list awesome listRoxGT its an open source framework for building Graph-based applications. It has been built essentially for academic jobs, such as graph algorithm execution and theorem proofs.

The Graph Implementation and Representation Libraries, or GIRLs, aim to be all-purpose libraries for solving graph theory problems. ie, shortest paths, matching, cycles, connectedness, creating 'random' graphs, etc...

Specifically, Certigrad is a system for optimizing over stochastic computation graphs, that we debugged systematically in the Lean Theorem Prover, and ultimately proved correct in terms of the underlying mathematics. Stochastic computation graphs extend the computation graphs that underlie systems like TensorFlow and Theano by allowing nodes to represent random variables and by defining the loss function to be the expected value of the sum of the leaf nodes over all the random choices in the graph. Certigrad allows users to construct arbitrary stochastic computation graphs out of the primitives that we provide. The main purpose of the system is to take a program describing a stochastic computation graph and to run a randomized algorithm (stochastic backpropagation) that, in expectation, samples the gradients of the loss function with respect to the parameters.

machine-learning theorem-proving lean verificationCommons Math is a library of lightweight, self-contained mathematics and statistics components addressing the most common problems not available in the Java programming language. it has support for Linear Algebra, Probability Distributions, Numerical Algebra, Statistics, Transform methods, Least Square etc.

math math-library mathematics statistics algebra
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