Top 4 Javascript Alternative (Similar) to FusionCharts
FusionCharts alternatives - Best library similar to FusionCharts. Find the top competitors of FusionCharts.
FusionCharts - JavaScript charts for web and mobile apps. 95+ chart types, 1400+ maps, and 20+ business dashboards with pre-built themes for any business use case. Build fast, responsive, and highly customizable data visualizations trusted by over 28,000 customers and 750,000 developers worldwide.
Best Javascript FusionCharts alternatives and competitors
D3 is a JavaScript library for visualizing HTML, SVG, and CSS data. D3 (or D3.js) is a JavaScript library for visualizing data using web standards. D3 combines powerful visualization and interaction techniques with a data-driven approach to DOM manipulation, giving you the full capabilities of modern browsers and the freedom to design a suitable visual interface for your data.
Chart.js is an open-source HTML5 Charts for your website. Simple, clean, and engaging HTML5-based JavaScript charts. Chart.js is an easy way to include animated, interactive graphs on your website for free.
- Open source: Chart.js is a community-maintained project, contributions welcome!
- 8 Chart types: Visualize your data in 8 different ways, animated and customizable.
- HTML5 Canvas: Great rendering performance across all modern browsers.
- Responsive: Redraws charts on window resize for perfect scale granularity.
Apache ECharts is a powerful, interactive charting and visualization library for browsers. Apache ECharts is a free, powerful charting and visualization library offering an easy way of adding intuitive, interactive, and highly customizable charts to your commercial products. Written in pure JavaScript, A Declarative Framework for Rapid Construction of Web-based Visualization.
- Flexible Chart Types: Apache ECharts provides more than 20 chart types available out of the box, along with a dozen components, and each of them can be arbitrarily combined to use.
- Powerful Rendering Engine: Easily switch between Canvas and SVG rendering. Progressive rendering and stream loading make it possible to render 10 million data in real-time.
- Professional Data Analysis: Manage data through datasets, which support data transforms like filtering, clustering, and regression to help analyze the multi-dimensional analysis of the same data.
