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NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Software for complex networks Data structures for graphs, digraphs, and multigraphs Many standard graph algorithms Network structure and analysis measures Generators for classic graphs, random graphs, and synthetic networks Nodes can be "anything" (e.g., text, image
The Jenkins project announced an unresolved security vulnerability affecting the current version of this plugin (why?): Shows a graph of builds that relates together (aka "build pipeline"). Code was originally part of build-flow-plugin. About This plugin computes a graph of related builds starting from the current one, and render it as a graph. Downstream builds are identified by DownStreamRunDecl
Previously we wrote about our traffic intuition tool, Flux. We have some announcements and updates to share about this project. First, we have renamed the project to Vizceral. More importantly, Vizceral is now open source! Open SourceVizceral transformed the way we understand and digest information about the state of traffic flowing into the Netflix control plane. We wanted to be able to intuit de
20+ JavaScript libraries to draw your own diagrams (2024 edition) by Jordi Cabot | Jan 10, 2024 | tools, cloud & web engineering, Model-driven Engineering | 53 comments You can draw and model anything in your browser with JavaScript. Indeed, there is a vast array of user-friendly online modeling tools available to create UML (or ER, BPMN, …) diagrams right in the browser. But what if you want to c
Reactive futureWhat we love about React is how simple and enjoyable its declarative way of constructing components. And when GraphQL was introduced our minds were blown because we realized: we can do the same with data, describing what our components need and not caring about how and when it will be delivered. Also, Netflix introduced JSONGraph and Falcor this May. What’s interesting here is that
vis.js community edition * A dynamic, browser based visualization library. The library is designed to be easy to use, to handle large amounts of dynamic data, and to enable manipulation of and interaction with the data. The library consists of the components DataSet, Timeline, Network, Graph2d and Graph3d.
Overview TensorBoard’s Graphs dashboard is a powerful tool for examining your TensorFlow model. You can quickly view a conceptual graph of your model’s structure and ensure it matches your intended design. You can also view a op-level graph to understand how TensorFlow understands your program. Examining the op-level graph can give you insight as to how to change your model. For example, you can r
Design Patterns for Efficient Graph Algorithms in MapReduce Jimmy Lin and Michael Schatz University of Maryland, College Park {jimmylin,mschatz}@umd.edu ABSTRACT Graphs are analyzed in many important contexts, includ- ing ranking search results based on the hyperlink struc- ture of the world wide web, module detection of protein- protein interaction networks, and privacy analysis of social network
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