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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.

http://js.cytoscape.orghttps://github.com/cytoscape/cytoscape.js

Dependencies:

heap : ^0.2.6

lodash.debounce : ^4.0.8

Tags | cytoscapejs graph graph-theory network node edge vertex link analysis visualisation visualization draw render biojs cytoscape |

Implementation | Javascript |

License | MIT |

Platform | NodeJS |

A Dash component library for creating interactive and customizable networks in Python, wrapped around Cytoscape.js. If you want to install the latest versions, check out the Dash docs on installation.

data-science bioinformatics plotly network-graph computational-biology dash biopython graph-theory cytoscape network-visualization cytoscapejs plotly-dashThis 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.

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.

graph-database graph-analysis graph-analytics nosql in-memoryPython library to convert networks from/to many different formats, like the ones used in Pajek, Cytoscape and other popular graph formats like GML. It also includes support to integrate experimental data to the netowork.

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.

graph-drawing tree network mind graph diagram g6 relational-data graph-visualization graph-editor graph-analysisCloudMapper helps you analyze your Amazon Web Services (AWS) environments. The original purpose was to generate network diagrams and display them in your browser. It now contains much more functionality. Duo built CloudMapper to generate interactive network diagrams of AWS accounts and is releasing it as an open-source tool to the larger developer community.

aws cytoscape diagram security aws-tools aws-visualization visualizationVisualize 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.

amd requirejs require graph commonjs module circular dependency dependencies visualize d3 es6An 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 listGosl is a Go library to develop Artificial Intelligence and High-Performance Scientific Computations. The library tries to be as general and easy as possible. Gosl considers the use of both Go concurrency routines and parallel computing using the message passing interface (MPI). Gosl has several modules (sub-packages) for a variety of tasks in scientific computing, image analysis, and data post-processing.

scientific-computing visualization linear-algebra differential-equations sparse-systems plotting mkl parallel-computations computational-geometry graph-theory tensor-algebra fast-fourier-transform eigenvalues eigenvectors hacktoberfest machine-learning artificial-intelligence optimization optimization-algorithms linear-programmingThe 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.

image-processing visualization library 3d-image-processing 3d image-analysisCytoscape is a software platform for computational biology and bioinformatics, useful for integrating data, and for visualizing and performing calculations on molecular interaction networks

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.

complex-networks graph-theory graph-algorithms graph-analysis graph-generation graph-visualizationJGraphX (aka JGraph 6) is the most powerful, easy-to-use and feature-rich graph drawing component available for Java. It could draw hierarchical, circular, trees and force-directed graphs. Its feature include zoom, moving, edge editing, attribute maps and lot more.

chart tool graph visualization chart-library-javaFoam is a personal knowledge management and sharing system inspired by Roam Research, built on Visual Studio Code and GitHub. You can use Foam for organising your research, keeping re-discoverable notes, writing long-form content and, optionally, publishing it to the web.

markdown markdown-editor vscode note-taking graph-visualisation pkm personal-knowledge-base notes-app zettelkastenGunrock is a CUDA library for graph-processing designed specifically for the GPU. It uses a high-level, bulk-synchronous, data-centric abstraction focused on operations on a vertex or edge frontier. Gunrock achieves a balance between performance and expressiveness by coupling high performance GPU computing primitives and optimization strategies with a high-level programming model that allows programmers to quickly develop new graph primitives with small code size and minimal GPU programming knowledge. For more details, please visit our website, read Why Gunrock, our TOPC 2017 paper Gunrock: GPU Graph Analytics, look at our results, and find more details in our publications. See Release Notes to keep up with the our latest changes.

gunrock cuda graph-processing graph-analytics gpu graph-primitivesWith 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.

r network-graph graph visualization property-graph graph-functionsThis 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.

dag directed-graph chart svg angular angular2 data-viz workflow angularjs charts charting d3 viz graph dataviz d3.js d3js angular4 directed-acyclic-graph visualization treeJGraphT 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-theoryRANGE: produce random genetic transcription networks in the NEMO language, which when compiled outputs models in Systems Biology Markup Language. Generate synthetic microarray data, or use NEMO alone to SBML-ize a network, or visualize it in cytoscape.

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