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I wrote this program to solve the Chinese Postman problem. The Chinese Postman Problem, or "route inspection problem" is to find a shortest closed circuit that visits every edge of a (connected) undirected graph.

https://github.com/supermitch/Chinese-PostmanTags | graph circuit network dijkstra |

Implementation | Python |

License | MIT |

Platform | Windows Linux |

GoJS is a JavaScript and TypeScript library for creating and manipulating diagrams, charts, and graphs. GoJS is a flexible library that can be used to create a number of different kinds of interactive diagrams, including data visualizations, drawing tools, and graph editors. There are samples for flowchart, org chart, business process BPMN, swimlanes, timelines, state charts, kanban, network, mindmap, sankey, family trees and genogram charts, fishbone diagrams, floor plans, UML, decision trees, pert charts, Gantt, and hundreds more. GoJS includes a number of built in layouts including tree layout, force directed, radial, and layered digraph layout, and a number of custom layout examples.

html diagram flowchart orgchart layout graph typescript chart tree uml bpmn editor drawing canvas svg hierarchy family-tree decision-tree mindmap treeview genogram ivr-tree parse-tree concept-map visualization entity-relationship er-diagram radial sankey pert gantt timeline swimlane workflow flow process state sequential-function grafcet sequence circuit dataflow data-flow planogram floorplan seating pipes tree-layout force-directed layered hierarchical circular fishbone ishikawa treemap tree-map subgraph network library js html5WPFGraph 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-3dSwiftGraph is a pure Swift (no Cocoa) implementation of a graph data structure, appropriate for use on all platforms Swift supports (iOS, macOS, Linux, etc.). It includes support for weighted, unweighted, directed, and undirected graphs. It uses generics to abstract away both the type of the vertices, and the type of the weights. It includes copious in-source documentation, unit tests, as well as search functions for doing things like breadth-first search, depth-first search, and Dijkstra's algorithm. Further, it includes utility functions for topological sort, Jarnik's algorithm to find a minimum-spanning tree, detecting a DAG (directed-acyclic-graph), and enumerating all cycles.

graph data-structure graph-algorithms dijkstra-algorithm topological-sort breadth-first-search depth-first-search prims-algorithmWith 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-functionsSupercharge your API workflow Modern software is built on APIs. Postman helps you develop APIs faster. Newman is a command-line collection runner for Postman. It allows you to effortlessly run and test a Postman collection directly from the command-line. It is built with extensibility in mind so that you can easily integrate it with your continuous integration servers and build systems.

newman postman-collection json-report postman api-testing api-test jenkins ci api testing rest-client restSource code of Learning JavaScript Data Structures and Algorithms book.

javascript-algorithms algorithm data-structures typescript typescript-algorithms stack queue deque priority-queue linked-list set tree sorting-algorithms dictionary binary-tree avl-tree quicksort graph graph-algorithms dijkstra-algorithmAlso called network representation learning, graph embedding, knowledge embedding, etc. The task is to learn the representations of the vertices from a given network.

network-embedding representation-learning graph-embeddings knowledge-graphSHENZHEN GO (working title) is an experimental visual Go environment, inspired by programming puzzle games such as TIS-100 and SHENZHEN I/O.SHENZHEN GO provides a UI for editing a "graph," where the nodes are goroutines and the arrows are channel reads and writes. (This is analogous to multiple "microcontrollers" communicating electrically in a circuit.) It can also convert a graph into pure Go source code, which can be compiled and run, or used as a library in a regular Go program.

visual graph flow flowchart dataflowStanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

This 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.

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-analysisA distributed graph deep learning framework.

graph graph-learning network-embedding deep-learning graph-convolutional-networks graph-neural-networks graphsage random-walk node2vec graph-embedding gcn ggnnViPEC is an network analyser for electrical networks. It takes a schematic description of an electrical network, and performs a simulation of the circuit response in the frequency domain. Output is in the form of port parameters (S, Y and Z).

A curated list of awesome malware analysis tools and resources. Inspired by awesome-python and awesome-php. View Chinese translation: 恶意软件分析大合集.md.

malware-analysis awesome awesome-list list malware-samples analysis-framework dynamic-analysis static-analysis threat-intelligence automated-analysis domain-analysis network-traffic threatintel malware-collection malware-research threat-sharing chinese-translation chineseComplex network is a network (graph) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs. Whit this project you can do research about complex network.

graph researchNetwork Visualization is a mature part of computer science that is enjoying a good deal of growth, partially fueled by Bioinformatics. Network is a synonym for Graph, and both refer to a collection of nodes and edges.

The Postman will help you deliver messages around your JavaScript application

Postman is a powerful HTTP client to help test web services easily and efficiently. Postman let's you craft simple as well as complex HTTP requests quickly. It also saves requests for future use so that you never have to repeat your keystrokes ever again.

http-client web-testing testing automation chrome-addon httpPostman helps you be more efficient while working with APIs. Using Postman, you can construct complex HTTP requests quickly, organize them in collections and share them with your co-workers.

testing-tool api-testing rest-client web-testing automation testingIn these tutorials, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years. All methods mentioned below have their video and text tutorial in Chinese. Visit 莫烦 Python for more.

tensorflow tensorflow-tutorials gan generative-adversarial-network rnn cnn classification regression autoencoder deep-q-network dqn machine-learning tutorial dropout neural-network
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