Search Results for "d3.js"
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Showing 33 open source projects for "d3.js"
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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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billboard.js
Re-usable, easy interface JavaScript chart library based on D3.js
billboard.js is a re-usable, easy interface JavaScript chart library, based on D3.js. The name "billboard" comes from the famous "billboard chart" which everybody knows. billboard.js provides the easiest way to create a 'chart' instantly. Chart generation is super easy. With extensive options, you can create a chart instantly! Yes, billboard.js works on D3 v4+; what everybody was waiting for! All of the code was written as an ESM(ES Module) with ES6+ syntax. -
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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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JS Analyzer
Burp Suite extension for JavaScript static analysis
JS Analyzer is a powerful static analysis tool implemented as a Burp Suite extension that helps security researchers and web developers automatically uncover important artifacts in JavaScript files during web application testing. It parses JavaScript responses intercepted by Burp Suite and intelligently extracts API endpoints, full URLs (including cloud storage links), secrets like API keys or tokens, and email addresses while filtering out noise from irrelevant code patterns. ... -
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arcgis-rest-js
compact, modular JavaScript wrappers for the ArcGIS REST API
Compact, modular JavaScript wrappers for the ArcGIS REST API that run in Node.js and modern browsers. ArcGIS REST JS is supported in Node.js 8.x and above. It requires additional packages to polyfill Fetch and FormData. ArcGIS REST JS is supported in the same browsers as the ArcGIS API for JavaScript. ArcGIS REST JS takes advantage of web standards that are supported in all modern desktop browsers and most mobile browsers. ArcGIS REST JS can be deployed with a variety of build tools. -
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Mapbox GL JS
Interactive, thoroughly customizable maps in the browser
...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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visx
Visualization components
visx a collection of expressive, low-level visualization primitives for React. At Airbnb, we made it a goal to unify our visualization stack across the company and in the process, we created a new project that brings together the power of D3 with the joy of React. visx is split into multiple packages. Start small and use only what you need. Bring your own state management, animation library, or CSS-in-JS solution. Odds are good your React app already has an opinion on how animation, theming, or styling is done. visx is careful not to add another one and integrates with all of them. ... -
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Link-Preview-JS
Extract web links information: title, description, images, videos, etc
link-preview-js is a lightweight TypeScript library that extracts metadata from URLs or HTML content to generate rich link previews. By parsing Open Graph tags and other metadata, it retrieves information such as titles, descriptions, images, and videos. Designed primarily for Node.js and mobile environments, it facilitates the creation of link previews similar to those found on social media platforms. -
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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. ... -
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electricityMap
A real-time visualisation of the CO2 emissions of electricity
Real-time visualization of the Greenhouse Gas (in terms of CO2 equivalent) footprint of electricity consumption built with d3.js and mapbox GL. Real-time data is defined as a data source with an hourly (or better) frequency, delayed by less than 2hrs. It should provide a breakdown by generation type. Often fossil fuel generation (coal/gas/oil) is combined under a single heading like 'thermal' or 'conventional', this is not a problem. Citizens should not be responsible for the emissions associated with all the products they export, but only for what they consume. ... -
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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. -
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Chart.js
Simple yet flexible JavaScript charting for designers & developers
Chart.js is a Javascript library that allows designers and developers to draw all kinds of charts using the HTML5 canvas element. Chart js offers a great array of simple, clean charts including animated and interactive versions. Chartjs is an easy way to include beautiful and engaging charts into your website for free. -
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Alova.js
Workflow-Streamlined next-generation request tools
Extremely streamline API integration workflow. Quickly find APIs in the editor, and enjoy full type hints even in js projects with the API code automatically generated by Alova's extension. Request in various complex scenes by one line of code. Automatically manage paging data, and data preloading, reduce unnecessary data refresh, improve fluency by 300%, and reduce coding difficulty by 50%. Send requests immediately by watching state changes, useful in tab switching and condition querying. ... -
14
GeoLibre
A lightweight, cloud-native GIS platform
...The platform keeps data local and private while still supporting cloud-native geospatial workflows. It uses technologies such as Tauri, React, TypeScript, MapLibre GL JS, DuckDB-WASM Spatial, and deck.gl. Users can load many local and remote geospatial formats, style map layers, inspect attributes, and run spatial analysis. It also includes advanced tools such as multi-map comparison, SQL workspaces, story maps, field collection, plugins, Python automation, and an AI GIS assistant. -
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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.... -
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Quadratic
Data science spreadsheet with Python & SQL
...Our goal is to build a spreadsheet that enables you to pull your data from its source (SaaS, Database, CSV, API, etc) and then work with that data using the most popular data science tools today (Python, Pandas, SQL, JS, Excel Formulas, etc). Quadratic has no environment to configure. The grid runs entirely in the browser with no backend service. This makes our grids completely portable and very easy to share. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. Quickly write code and see the output in full detail. ... -
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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. -
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AAChartKit
Modern declarative data visualization chart framework
AAChartKit is an elegant and friendly (user-friendly && enviroment-friendly) chart framework for iOS, based on the open source Highcharts JS libraries. AAChartKit is extremely powerful, easy to configure and a pleasure to use. Currently AAChartKit includes support for the following chart types: column chart, bar chart, area chart, area spline chart, line chart, spline chart, radar chart, polar chart, pie chart, bubble chart, pyramid chart, funnel chart, column range and area range chart. ... -
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DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to... -
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ipyvolume
3d plotting for Python in the Jupyter notebook
...Render in the Jupyter notebook, or create a standalone html page (or snippet to embed in your page). Render in stereo, for virtual reality with Google Cardboard. Animate in d3 style, for instance, if the x coordinates or color of a scatter plots changes. Animations / sequences, all scatter/quiver plot properties can be a list of arrays, which can represent time snapshots. -
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RDS - JS - Examples
TypeScript/JavaScript example code using the RDS API
...RDS provides a range of services including data profiling, mapping, transformation, validation, ingestion, and dissemination. For more information about each of these APIs and how you can incorporate or consume them as part of your work flow please visit the MTNA website. RDS-JS-Examples is TypeScript/JavaScript repository for showcases and examples to demonstrate using the RDS API. Many of the examples will leverage the RDS JavaScript SDK to simplify and faciliate interacting with any given RDS API. By using this SDK you will add to your project the benefit of strong types and easy to use helper functions that directly reflect the RDS API. -
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textures.js
SVG patterns for data visualization
Textures.js is a JavaScript library for creating SVG patterns. Made on top of d3.js, it is designed for data visualization. Import textures.js from NPM. You can also use textures.js in your HTML page with a <script> tag by downloading textures.js to a local folder or by using the Unpkg CDN network. Textures.js can be used alongside d3. -
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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. ... -
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PivotTable.js
Open-source Javascript Pivot Table
PivotTable.js is a powerful JS library (originally CoffeeScript) that brings Excel-style pivot tables to the browser. Built atop jQuery and jQueryUI, it allows users to drag and drop fields into rows, columns, and aggregators to slice and summarize datasets. It also integrates with Python and R via modules like pivottablejs, making it versatile for data analysis across platforms. -
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Clustergrammer
An interactive heatmap visualization built using D3.js
Clustergrammer is a visualization library built using D3.js that enables intuitive interaction with high-dimensional data. Clustergrammer was built with biological data in mind. Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front end (Clustergrammer-JS) is built using D3.js and its back-end (Clustergrammer-PY) is built using Python. ...
