Building a Web Crawler and Web Graph Visualizer in JavaScript

In this post, we’ll walk through the process of creating a simple application that can crawl the web starting from a given URL, and visualize the hyperlinks it finds as an interactive web graph. We will accomplish this using pure JavaScript and the MindFusion.Diagramming library, which provides the powerful features needed for graph creation, layout, and interaction.

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Save and Load Part of Diagram Data to/from JSON Files

In this blog post we will demonstrate how you can implement methods that save and load part of the information that a diagram renders into JSON format. The Diagram class has built-in toJson and fromJson methods. They serialize completely the diagram with every detail so you can restore it completely, exactly the way you see it. What we are going to do is write custom save and load methods that use only part of the information – namely the size and location of nodes and links as well as their text.

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Candlestick Financial Chart in JavaScript with Real-time Data

In this blog post we will build the financial chart that you see below. This is a candlestick chart created with MindFusion Charting for JavaScript. We use data from the platform TraderMade. The data comes in a continuous stream as a WebSocket. The blog post explains how to get the data, how to parse it and how to create and customize the chart. The chart also offers the user to change the data interval and to zoom in/out the chart.

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Render Online Maps Using Your Own Tile Map Files and MindFusion Mapping Library for JavaScript

In this blog post we are going to show you how to use the free mapping files, available for download from various resources and convert them to image files so they can be rendered through the URL http://your_website/files_location/{z}/{x}/{y}.png You will get acquainted with various sources of map data files, different tools to convert and export the files into raster images. Finally, you will use MindFusion’s JS Mapping library to create a map that uses the image files, you have prepared and uploaded on your own server.

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