Open Source JavaScript Data Visualization Software
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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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Jmol
An interactive viewer for three-dimensional chemical structures.
Over 1,000,000 page views per month. Jmol/JSmol is a molecular viewer for 3D chemical structures that runs in four independent modes: an HTML5-only web application utilizing jQuery, a Java applet, a stand-alone Java program (Jmol.jar), and a "headless" server-side component (JmolData.jar). Jmol can read many file types, including PDB, CIF, SDF, MOL, PyMOL PSE files, and Spartan files, as well as output from Gaussian, GAMESS, MOPAC, VASP, CRYSTAL, CASTEP, QuantumEspresso, VMD, and many other quantum chemistry programs. Files can be transferred directly from several databases, including RCSB, EDS, NCI, PubChem, and MaterialsProject. Multiple files can be loaded and compared. A rich scripting language and a well-developed web API allow easy customization of the user interface. Features include interactive animation and linear morphing. Jmol interfaces well with JSpecView for spectroscopy, JSME for 2D->3D conversion, POV-Ray for images, and CAD programs for 3D printing (VRML export). -
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D3.js
A JavaScript library for visualizing data using web standards
D3.js (or D3 for Data-Driven Documents) is a JavaScript library that allows you to produce dynamic, interactive data visualizations in web browsers. With D3 you can bring data to life using SVG, Canvas and HTML. Powerful visualization and interaction techniques plus a data-driven approach to DOM manipulation means D3.js gives you greater design freedom and control over the final result. -
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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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Mapbox GL JS
Interactive, thoroughly customizable maps in the browser
Mapbox GL JS is a JavaScript library that uses WebGL to render interactive maps from vector tiles and Mapbox styles. It is part of the Mapbox GL ecosystem, which includes Mapbox Mobile, a compatible renderer written in C++ with bindings for desktop and mobile platforms. Mapbox GL JS is part of the cross-platform Mapbox GL ecosystem, which also includes compatible native SDKs for applications on Android, iOS, macOS, Qt, and React Native. Mapbox provides building blocks to add location features like maps, search, and navigation into any experience you create. To get started with GL JS or any of our other building blocks, sign up for a Mapbox account. In addition to GL JS, this repository contains code, issues, and test fixtures that are common to both GL JS and the native SDKs. Mapbox GL JS v2 enables 3D mapping with elevated terrain, customizable skies and atmospheric lighting, a new camera, and performance enhancements. -
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Cytoscape.js
Graph theory library for visualization and analysis
A fully featured graph library written in pure JS. Permissive open source license (MIT) for the core Cytoscape.js library and all first-party extensions. Used in commercial projects and open-source projects in production. Designed for users first, for both frontfacing app usecases and developer usecases. Highly optimized. Compatible with All modern browsers. Legacy browsers with ES5 and canvas support. ES5 and canvas support are required, and feature detection is used for optional performance enhancements. Browsers circa 2012 support ES5 fully: IE10, Chrome 23, Firefox 21, Safari 6 (caniuse). Browsers with partial but sufficient ES5 support also work, such as IE9 and Firefox 4. The documentation and examples are not optimized for old browsers, although the library itself is. Some demos may not work in old browsers in order to keep the demo code simple. -
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Vizzu
Library for animated data visualizations and data stories
Vizzu is a free, open-source Javascript/C++ library utilizing a generic dataviz engine that generates many types of charts and seamlessly animates between them. It can be used to create static charts but more importantly, it is designed for building animated data stories and interactive explorers as Vizzu enables showing different perspectives of the data that the viewers can easily follow due to the animation. Create a placeholder element that will contain the rendered chart. The Vizzu constructor has to load Vizzu's WebAssembly module asynchronously to prevent blocking the whole page. Because of this, any method except animate() will throw an exception while the library is not initialized. There is an initializing promise in the Vizzu class, which will resolve when initialization is finished. You can call all methods after this promise is resolved. -
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SPX
A simple & straight-to-the-point PHP profiling extension
SPX, which stands for Simple Profiling eXtension, is just another profiling extension for PHP. It differentiates itself from other similar extensions as being totally free and confined to your infrastructure (i.e. no data leaks to a SaaS). Very simple to use: just set an environment variable (command line) or switch on a radio button (web request) to profile your script. Thus, you are free of manually instrumenting your code (Ctrl-C a long running command line script is even supported). Using a dedicated browser extension or command line launcher. Multi metrics capable: 22 are currently supported (various time & memory metrics, included files, objects in use, I/O...). Able to collect data without losing context. For example Xhprof (and potentially its forks) aggregates data per caller / callee pairs, which implies the loss of the full call stack and forbids timeline or Flamegraph based analysis. -
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errsole.js
Collect, Store, and Visualize Logs with a Single Module
Errsole is an open-source logger for Node.js. It has a built-in web dashboard to view, filter, and search your app logs. -
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ThreeJS Globe Visualization
WebGL Globe Data Visualization as a ThreeJS reusable 3D object
Three Globe is a Three.js class for creating geographic data visualizations on interactive 3D globes. It is intended for developers who want globe visualization functionality directly inside an existing Three.js scene. Geographic information can be rendered through independent layers for points, arcs, polygons, paths, heatmaps, hexagons, tiles, particles, and other objects. The spherical projection makes it suitable for global spatial and network datasets. Developers retain access to the surrounding Three.js scene, camera, lighting, and rendering system. The library forms the lower-level visualization foundation used by related projects such as Globe.GL and can be combined with other Three.js objects and effects. -
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plotly.js
JavaScript charting library behind Plotly and Dash
Plotly JavaScript Open Source Graphing Library. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. plotly.js is free and open source and you can view the source, report issues or contribute on GitHub. For plotly.js to build with Webpack you will need to install ify-loader@v1.1.0+ and add it to your webpack.config.json. This adds Browserify transform compatibility to Webpack which is necessary for some plotly.js dependencies. When users hover over a figure generated with plotly.js, a modebar appears in the top-right of the figure. This presents users with several options for interacting with the figure. When users hover over a figure generated with plotly.js, a modebar appears in the top-right of the figure. This presents users with several options for interacting with the figure. -
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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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stats Koa
Request statistics middleware that stores response times, status code
Request statistics middleware. Request statistics middleware that stores response times, status code counts, etc. -
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MathMod
MathMod is a mathematical modeling software
MathMod is a portable interactive plotting and graphing program for Windows, Linux, MacOSX and many other platforms. MathMod allows to plot 3D mathematical surfaces, described by implicit or parametric equations, and offers a very large database of model samples that can be generated with it. It's Free and Open Source. Change-log for MathMod-13.0 (15/11/2025) 1) Scripts generator to add thickness to iso/parametric surfaces 2) Undo/Redo commands for navigating through previous scripts 3) New scripts, Bug-fixes, code optimization and documentation update For a complete list of changes made during the course of development, please visit: https://github.com/users/parisolab/projects/2 -
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DataVoyager.jl
Julia wrapper for the Voyager data exploration tool
This package provides Julia integration for the Voyager data exploration tool. DataVoyager.jl can be used for data exploration. It can help you visualize and understand any data that is in a tabular format. -
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Observable Plot
A concise API for exploratory data visualization
Observable Plot is a free, open-source JavaScript library to help you quickly visualize tabular data. It has a concise and (hopefully) memorable API to foster fluency — and plenty of examples to learn from and copy-paste. In the spirit of show don’t tell, below is a scatterplot of the height and weight of Olympic athletes (sourced from Matt Riggott), constructed using a dot mark. We assign columns of data (such as weight) to visual properties (such as the dot’s x), and Plot infers the rest. You can configure much more, if needed, but Plot’s goal is to help you get a meaningful visualization quickly. Plot employs a layered grammar of graphics inspired by Vega-Lite, ggplot2, Wilkinson’s Grammar of Graphics, and Bertin’s Semiology of Graphics. Plot rejects a chart typology in favor of marks, scales, and transforms. Plot can be readily extended in JavaScript, whether to define a channel, a transform, or even a custom mark. -
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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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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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force-graph
Force-directed graph rendered on HTML5 canvas
Force Graph is a JavaScript component for rendering interactive force-directed graphs on an HTML5 canvas. It uses d3-force as its physics engine to calculate node positions through iterative simulation. Developers can load graph structures containing nodes and links and update the data dynamically. Users can zoom, pan, drag nodes, and interact with nodes or links through hover and click events. Nodes can contain text, images, custom shapes, colors, and configurable labels. Links can display arrows, moving particles, custom styles, and other visual indicators for exploring relationships in network data. -
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IIPImage
IIPImage is an advanced high-performance image server and client
IIPImage is a high performance image server and client for viewing, navigating and zooming within high resolution images on the internet. Images in TIFF or JPEG2000 format are efficiently streamed by the server to a choice of clients that can be embedded within a web page. -
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just-dashboard
Dashboards using YAML or JSON files
Dashboards using YAML or JSON files. Create a public GitHub gist with a file named dashboard.yml or dashboard.json (depending on your preferred format) As your dashboard is just data, you can generate it instead of repeating yourself. You can do that by generating the YAML or JSON file yourself, or you can use jq queries in your YAML file. And one with a dashboard that contains a component that can fetch the data from other other gist and turn it into 3 different charts. Using the same principle, you can also loads parts from your dashboard from other files, or just JSON/CSV data for specific charts. Suppose you are only interested in comparing foods by how much they contain of a single macronutrient. However, you want to be able to decide which macronutrient. -
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ECharts
A powerful, interactive charting and visualization library for browser
ECharts is a free and open source charting and visualization library that gives you an easy way to add interactive, intuitive, custom charts to your commercial products, projects, presentations and more. It offers a rich set of features that includes rendering ability for ten-million-level data, Wechart and Powerpoint support, multi-dimension data analysis, and more. It also has a number of extensions for various applications. ECharts is written in pure JavaScript, and is based on zrender, a new and lightweight canvas library. -
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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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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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Apexcharts.js
Interactive JavaScript Charts built on SVG
A modern JavaScript charting library that allows you to build interactive data visualizations with simple API and 100+ ready-to-use samples. Packed with the features that you expect, ApexCharts includes over a dozen chart types that deliver beautiful, responsive visualizations in your apps and dashboards. ApexCharts is an MIT-licensed open-source project that can be used in commercial and non-commercial projects. You can create a combination of different charts, sync them and give your desired look with unlimited possibilities. Below is an example of synchronized charts with github style. Zoom, Pan, Scroll through data. Make selections and load other charts using those selections. An example showing some interactivity. Another approach to Drill down charts where one selection updates the data of other charts. Annotations allows you to write custom text on specific values or on axes values. Valuable to expand the visual appeal of your chart and make it more informative. -
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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.
