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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.
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.
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.
WPFGraph 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.
Dependency 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
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...
Commons 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.
G.A.V. (Graph Algorithm Visualizer) is a tool that visualizes algorithms from graph theory. A step-by-step visualization from each different algorithm allows the user to understand the particular algorithm very easily.
Microsoft Graph Engine is a distributed in-memory data processing engine, underpinned by a strongly-typed in-memory key-value store and a general distributed computation engine.This repository contains the source code of Graph Engine and its graph query language -- Language Integrated Knowledge Query (LIKQ). LIKQ is a versatile graph query language on top of Graph Engine. It combines the capability of fast graph exploration and the flexibility of lambda expression: server-side computations can be expressed in lambda expressions, embedded in LIKQ, and executed on the server side during graph traversal. LIKQ is powering Academic Graph Search API, which is part of Microsoft Cognitive Services.
Gremlin is a graph traversal language. Gremlin works over those graph databases or frameworks that implement the Blueprints property graph data model. It works beter with graph database like TinkerGraph, Neo4j, OrientDB, DEX, Rexster, and Sail RDF Stores. This language has application in the areas of graph query, analysis, and manipulation.
Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals. It is a native Blueprints enabled graph database and as such, it supports the full TinkerPop stack of technologies.
Graphlite is an embedded graph databases for Python. Graphlite aims to change that by building a simple and fast graph layer over SQLite. Similar to FlockDB, Graphlite only stores adjacency lists, but they can be queried in the style of normal graph databases, e.g. with traversals.
STINGER is a package designed to support streaming graph analytics by using in-memory parallel computation to accelerate the computation. STINGER is composed of the core data structure and the STINGER server, algorithms, and an RPC server that can be used to run queries and serve visualizations.