Open Source JavaScript Data Visualization Software - Page 2
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JavaScript Data Visualization Software
View 452 business solutionsBrowse free open source JavaScript Data Visualization Software and projects below. Use the toggles on the left to filter open source JavaScript Data Visualization Software by OS, license, language, programming language, and project status.
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Semiotic
A data visualization framework combining React & D3
Semiotic is a data visualization framework combining React & D3. It provides three types of frames XYFrame, OrdinalFrame, NetworkFrame, to deploy a wide variety of charts. XY data i.e. line charts and scatterplots. Categorical data i.e. bar charts, violin plots, parallel coordinates. Topological and network data i.e. flow diagrams, network visualization, and hierarchical views. A guide for creating a line chart, timeseries, difference line, and line percents using XYFrame along with hover behavior, responsive dimensions, and styling. XYFrame takes lines as an object or an array of objects. Each object represents a line. Every object needs a coordinates property with the array of points for that line. The points will be rendered in the order of that array. You can use a key other than coordinates by changing the lineDataAccessor props. -
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Space Radar Electron
Disk And Memory Space Visualization App built with Electron & d3.js
Space Radar Electron is an application that offers an interactive and comprehensive visualization of disk space and memory usage of your computer. Built with Electron & d3.js, it currently offers visualizations in the form of Sunburst, Treemap and Flamegraph charts. As it scans the contents of your disk, it produces a preview visualization so you can already see what's been scanned. It allows for drilldown of directories, breadcrumbs and navigation. Space Radar works fast, and is cross-platform. Currently, there are many developments being planned for Space Radar, including more targets for scanning, coloring by file types, filtering hidden files and more. -
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deck.gl
WebGL2 powered visualization framework
deck.gl is designed to simplify high-performance, WebGL-based visualization of large data sets. Users can quickly get impressive visual results with minimal effort by composing existing layers, or leveraging deck.gl's extensible architecture to address customer needs. deck.gl maps data (usually an array of JSON objects) into a stack of visual layers - e.g. icons, polygons, texts; and look at them with views: e.g. map, first-person, orthographic. deck.gl handles a number of challenges out of the box. Deck.gl is designed to be highly customizable. All layers come with flexible APIs to allow programmatic control of each aspect of the rendering. All core classes such are easily extendable by the users to address custom use cases. deck.gl is part of vis.gl, an OpenJS Foundation project. Read the contribution guidelines if you are interested in contributing. -
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vue-chartjs
Vue.js wrapper for Chart.js
vue-chartjs is a wrapper for Chart.js in vue. You can easily create reusable chart components. You can use vue-chartjs directly in the browser without any build setup. Like in this codepen. For this case, please use the vue-chartjs.min.js which is the minified version. You also need to add the Chart.js CDN script. Chart.js does not update or re-render the chart if new data is passed. However, you can simply implement this on your own or use one of the two mixins which are included. The mixins automatically create chartData as a prop or data. And add a watcher. If data has changed, the chart will update. However, keep in mind the limitations of vue and javascript for mutations on arrays and objects. It is important that you pass your options in a local variable named options! You can create your components in Vues single file components. -
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3D Force-Directed Graph
3D force-directed graph component using ThreeJS/WebGL
3D Force-Directed Graph is a web component for visualizing graph data in an interactive three-dimensional environment. It uses Three.js and WebGL for rendering while force simulation engines calculate node positions dynamically. Developers can customize nodes, links, labels, geometry, colors, directional arrows, particles, and other visual properties. Users can interact with graphs through dragging, clicking, selection, camera movement, and focus controls. The library supports dynamic data updates, collision handling, directed acyclic graph layouts, curved links, and external scene objects. Numerous examples demonstrate large graphs, custom visuals, post-processing effects, and interactive exploration techniques. -
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Algorithm Visualizer
Interactive Online Platform that Visualizes Algorithms from Code
Hacker Scripts is a light-hearted collection of small automation and demo scripts that solve amusing everyday tasks or illustrate quick integrations with external services. The repo collects short programs (originally a set of shell and Ruby scripts) and many community contributed ports in other languages to show “how you might automate X” — for example sending a quick SMS, firing off an email, or triggering a coffee maker — with examples and scheduling snippets included. The README explains each example, lists required environment variables or credentials (e.g., Twilio/Gmail where applicable), and gives cron examples so readers can run the scripts in a real environment. The project is intentionally informal and educational: it’s meant for experimentation, learning language-interop, and having fun rather than production-grade automation. Many implementations exist across languages (shell, Ruby, Python, Node, PowerShell, Go, Java, and more) and contributors are encouraged to add further -
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Chokidar
Minimal and efficient cross-platform file watching library
Chokidar is a solution for all the users of Node.js fs.watch who are tired of it not reporting filenames on MacOS and events at all when using editors like Sublime on MacOS. Node.js fs.watch often reports events twice, emits most changes as rename, and it does not provide an easy way to recursively watch file trees nor supports recursive watching on Linux. Same as with Node.js fs.watchFile. Therefore, Chokidar resolves these problems. Initially made for Brunch (an ultra-swift web app build tool), it is now used in Microsoft's Visual Studio Code, gulp, karma, PM2, browserify, webpack, BrowserSync, and many others. It has proven itself in production environments. Chokidar does still rely on the Node.js core fs module, but when using fs.watch and fs.watchFile for watching, it normalizes the events it receives, often checking for truth by getting file stats and/or dir contents. -
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G6
A Graph Visualization Framework in JavaScript
G6 is graph visualization engine with simplicity and convenience. Based on the ability to customize, it provides a set of elegant graph visualization solutions and helps developers to build up applications for graph visualization, graph analysis, and graph editor. G6 is a complete graph visualization engine, which focuses on relational data. According to practical business scenarios, we found the top solutions. Well-designed simple, flexible, and extendable interfaces will satisfy your infinite originality. A social network is an important scenario in graph visualization. The relationships become complicated with the development of social networks. Graph visualization and analysis do well in these complex cases. -
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Globe.GL
UI component for Globe Data Visualization using ThreeJS/WebGL
Globe.GL is a web component for building interactive three-dimensional globe visualizations in the browser. It uses Three.js and WebGL to render geographic data on a spherical projection. Developers can display points, arcs, polygons, paths, heatmaps, tiles, particles, rings, labels, and custom 3D objects. Multiple visualization layers can be combined into a single globe. The component also provides controls for the globe surface, atmosphere, camera, animation, and rendering behavior. It is designed for applications such as geographic dashboards, network maps, satellite views, transportation visualizations, and other spatial data experiences. -
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NVD3
A reusable charting library written in d3.js
This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power that d3.js gives you. This is a very young collection of components, with the goal of keeping these components very customizable, staying away from your standard cookie cutter solutions. Download d3.v3.js. This is the only required library for NVD3. Download the latest nv.d3.js (version 1.8.1). Get the development version, or minified production version. Don’t forget the NVD3 css file! Checkout our examples gallery for how to code your first chart. Our examples should provide you with enough code to start making beautiful charts. Google Chrome is our best supported browser. NVD3 also works in Firefox, Opera, Safari and Internet Explorer 10. NVD3 is currently maintained by a team of frontend software engineers at Novus Partners. -
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TradingView MCP Bridge
AI-assisted TradingView chart analysis
TradingView MCP Bridge connects an AI coding assistant to a locally running TradingView Desktop application. It communicates through the Chrome DevTools Protocol and exposes chart controls through MCP tools and a command-line interface. The assistant can navigate symbols and timeframes, inspect indicator values, capture screenshots, draw annotations, manage alerts, and configure multi-pane layouts. Pine Script workflows include writing, injecting, compiling, debugging, and iterating on scripts from natural-language requests. Replay controls allow users to step through historical bars for analysis and practice. Processing remains on the local machine, and the tool requires an installed TradingView Desktop application with legitimate account access. It does not execute trades, and its reliance on undocumented internal interfaces means application updates may affect compatibility. -
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dc.js
Multi-Dimensional charting built to work natively with crossfilter
dc.js is a javascript charting library with native crossfilter support, allowing highly efficient exploration on large multi-dimensional datasets (inspired by crossfilter's demo). It leverages d3 to render charts in CSS-friendly SVG format. Charts rendered using dc.js are data driven and reactive and therefore provide instant feedback to user interaction. Dimensional charting built to work natively with crossfilter rendered using d3.js. In dc.js, each chart displays an aggregation of some attributes through the position, size, and color of its elements, and also presents a dimension which can be filtered. When the filter or brush changes, all other charts are updated dynamically, using animated transitions. dc.js is an easy yet powerful javascript library for data visualization and analysis in the browser and on mobile devices. -
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flot
Attractive JavaScript charts for jQuery
Flot is a pure JavaScript plotting library for jQuery, with a focus on simple usage, attractive looks and interactive features. Works with Internet Explorer 6+, Chrome, Firefox 2+, Safari 3+ and Opera 9.5+. Additional examples are bundled with Flot. Also take a look at the Flot Usage Wiki for screenshots and stories from people and companies using Flot. Take a look at the the examples in examples/index.html; they should give a good impression of what flot can do, and the source code of the examples is probably the fastest way to learn how to use flot. Just include the JavaScript file after you've included jQuery. You need at least jQuery 1.2.6, but try at least 1.3.2 for interactive charts because of performance improvements in event handling. The plot function immediately draws the chart and then returns a plot object with a couple of methods. The placeholder is a jQuery object or DOM element or jQuery expression that the plot will be put into. -
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inMap
Rich layers, better user experience, big data geographic visualization
inMap is a big data visualization library based on Baidu Map. It focuses on the display of scatter, heat map, grid, and aggregation in the direction of big data. It is committed to making big data visualization easy to use. -
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jnotebook_reader
An awesome viewer to browse and render Jupyter Notebooks
An awesome viewer to browse and render Jupyter Notebooks from local, Amazon S3, Google Cloud Storage, or MinIO. Browse and render Jupyter Notebooks from local, Amazon S3, Google Cloud Storage, or MinIO. Register and access multiple directories(or buckets) at the same time. Show and allow to config ToC(Table of Contents) included in your Jupyter Notebook. Hide/show all codes in your Jupyter Notebook interactively. Generate a permanent link about your Jupyter Notebook. Download your Jupyter Notebook in one click. -
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tikzcd-editor
A simple visual editor for creating commutative diagrams
A simple visual editor for creating commutative diagrams. -
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vizceral
WebGL visualization for displaying animated traffic graphs
vizceral is a component for displaying traffic data on a webgl canvas. If a graph of nodes and edges with data about traffic volume is provided, it will render a traffic graph animating the connection volume between nodes. This component can take multiple traffic graphs and will generate a 'global' graph showing all incoming traffic into each of the 'regions', with support for cross-region traffic. There are three levels of information, global, regional, and service-level, with clicking or double-clicking on a node bringing you one level deeper. We are not using this internally at Netflix at this time and the project is not actively being worked on. We occasionally look at the repo and will review PRs as time permits. Current development focuses on a most recent version of Chrome. Minor sanity checking for the latest versions of Safari and Firefox. -
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WebVisu
Pure Browser based Visualisation for PLCs
Framework to enable PLC Visualisations (like Wago 750-841, Beck IPC, CoDeSys 2.3) displayed in a standalone Browser without Java applets. Including Browsers of iPad, iPhone, iPod, Android aso.. Based on HTML5 canvas and Javascript. -
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MyBox
Easy Tools of PDF, Image, File, Network, Data, and Medias
javafx-desktop-apps pdf image ocr icc barcode color-palette text bytes markdown html archive compress digest video audio editor converter media https://github.com/Mararsh/MyBox Self-contain packages need not java env nor installation. Jar packages need Java 16 or higher. -
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CapAnalysis
PCAP from another point of view
CapAnalysis is a web visual tool for information security specialists, system administrators and everyone who needs to analyze large amounts of captured network traffic. Analyze TCP and UDP streams Support multible datasets Perform deep packet inspection Support filtering capability Source Code: https://github.com/xplico/CapAnalysis -
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This Java application serves to transform W3C XML Schema instances into interactive diagrams in SVG format. The diagram represents structure of XML files and provides information about individual items – elements and attributes.
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The HyperImage platform supports the linking of (audio)-visual objects, texts and mixed-media documents. References between images in total, regions of images, annotations regarding the images, and other media, are achieved by means of hyperlinks.
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Datafor Visualization and Analysis
Visualization and Analysis
Datafor is a self-service agile BI tool that provides intuitive and user-friendly data visualization and analysis capabilities to help users quickly explore, analyze, and make decisions with their data. -
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The purpose of the project is to develop a quantitative medical imaging & visualization program for use on brain MR, DTI and MRS data. It is a joint project of the Kennedy Krieger Institute & the Johns Hopkins University, Psychiatric Neuroimaging Lab
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DICOM Image Reader
A minimal Medical application to read and view DICOM (dcm) image file
Dicom Image Reader is opensource medical image viewer built with JavaScript, HTML5, NodeJS and Electron framework. It can load data in DICOM format (single image dcm) and provides standard tools for its manipulation such as contrast, zoom, drag, possibility to draw regions on top of the image and imaging filters such as threshold and sharpening. It is based DWV JavaScript opensource library. =============== Requirements: - Processor: Intel Pentium 4 processor or later that's SSE2 capable - RAM: 512 MB - Hard Disk: 1500 MB - Video Card: nVidia, ATI and Intel Shader Model 2 and Shader Model 3 video cards with 512 megabytes of RAM minimum - Supported OS: Windows 10, Windows 8, Windows 8.1, Windows 7 =============== Alternative software for Windows: Available on Ecwid - https://goo.gl/twBcAq =============== Android App: https://goo.gl/i4NX9K -------------- Chrome app Release Pro: https://goo.gl/p456N5
