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  1. Chart.js is a simple yet flexible JavaScript charting library for the modern web. It supports 8 chart types, HTML5 canvas, responsive design, animations, and more.

    • Animations

      These keys can be configured in following paths: `` - chart...

    • Subtitle

      #Subtitle. Subtitle is a second title placed under the main...

    • Decimation Plugin

      #Decimation Algorithms. Decimation algorithm to use for...

    • Bubble

      Doing so will give all bubble charts created after this...

    • Docs

      Among many charting libraries for JavaScript application...

    • Getting Started

      Let's get started with Chart.js! Follow a step-by-step guide...

  2. www.chartjs.org › docs › latestChart.js

    28 Οκτ 2024 · Chart.js is a popular and customizable charting library for JavaScript applications. It supports various chart types, plugins, animations, and integrations with popular frameworks.

  3. www.w3schools.com › js › js_graphics_chartjsChart.js - W3Schools

    Chart.js is an free JavaScript library for making HTML-based charts. It is one of the simplest visualization libraries for JavaScript, and comes with the many built-in chart types: Scatter Plot. Line Chart.

  4. 28 Οκτ 2024 · Let's get started with Chart.js! Follow a step-by-step guide to get up to speed with Chart.js. Install Chart.js from npm or a CDN. Integrate Chart.js with bundlers, loaders, and front-end frameworks.

  5. www.npmjs.com › package › chartchart.js - npm

    chart.js - npm. 4.4.3 • Public • Published 4 months ago. Readme. Code Beta. 1 Dependency. 4,562 Dependents. 101 Versions. Simple yet flexible JavaScript charting for designers & developers. Documentation. All the links point to the new version 4 of the lib. Introduction. Getting Started. General. Configuration. Charts. Axes. Developers.

  6. Simple, clean and engaging charts for designers and developers - Chart.js.

  7. Learn about the features, performance, and customization of seven popular JavaScript charting libraries, including Chart.js. See how they compare in different scenarios, such as financial data visualization.

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