Chart.js

Chart.js

Chart.js is an open-source JavaScript library that allows developers to easily create responsive, interactive data visualizations and charts using HTML5 Canvas. It supports 8 chart types including line, bar, radar, polar, pie, doughnut, scatter, and bubble charts.
Chart.js image
charts canvas data-visualization javascript

Chart.js: Open-Source JavaScript Library for Responsive Data Visualizations

Chart.js is an open-source JavaScript library that allows developers to easily create responsive, interactive data visualizations and charts using HTML5 Canvas. It supports 8 chart types including line, bar, radar, polar, pie, doughnut, scatter, and bubble charts.

What is Chart.js?

Chart.js is an open-source JavaScript library that allows developers to easily create responsive, interactive data visualizations and charts using HTML5 Canvas. Some key things to know about Chart.js:

  • Supports 8 chart types out of the box: line, bar, radar, polar, pie, doughnut, scatter, and bubble charts
  • Uses HTML5 Canvas for rendering charts, providing great performance across all modern browsers
  • Completely responsive and scales graphics perfectly on all screen sizes
  • Tons of customization options for colors, tooltips, animation, layouts, etc.
  • No dependencies, lightweight codebase that's simple to implement and use
  • Great documentation and active development community on GitHub

Overall, Chart.js strikes a great balance between ease-of-use and customizability. It's a great choice for developers looking to add interactive, flexible charts/graphs to their web apps or sites without needing to master complex data viz libraries. The simple API, responsive graphics and broad browser support makes integrating Chart.js a seamless process.

Chart.js Features

Features

  1. Supports 8 chart types: line, bar, radar, polar, pie, doughnut, scatter, bubble
  2. Open source and free to use
  3. Uses HTML5 Canvas for rendering
  4. Responsive and adaptive for different screen sizes
  5. Customizable with plugins and extensions
  6. Animate charts with transitions and animations
  7. Supports time series data
  8. Large ecosystem of plugins and wrappers for frameworks

Pricing

  • Open Source

Pros

Lightweight without external dependencies

Easy integration into web projects

Good documentation and large community support

Very customizable and extensible

Performs well with large datasets

Open source with MIT license

Cons

Less chart types than some commercial libraries

Steeper learning curve than simple wrapper libraries

Not optimized for server-side rendering

Requires knowledge of Canvas API for advanced customization


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