Top 5 Javascript Alternative (Similar) to Matplotlib
Matplotlib alternatives - Best library similar to Matplotlib. Find the top competitors of Matplotlib.
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib produces high-quality charts in various formats and interactive environments across platforms. Matplotlib can be used in Python scripts, Python/IPython shells, web application servers, and graphical user interface toolkits.
- Create high-quality plots.
- Make interactive figures that can zoom, pan, and update.
- Customize visual style and layout.
- Export to many file formats.
- Embed in JupyterLab and Graphical User Interfaces.
- Use a rich array of third-party packages built on Matplotlib.
Best Javascript Matplotlib 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.
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.
