The industry-standard HTML5 Canvas library for high-performance, responsive data visualization.
Chart.js is a premier open-source JavaScript library that has evolved into a cornerstone of the 2026 web development stack for data visualization. Built on the HTML5 Canvas API, it offers immediate-mode rendering which provides significant performance advantages over SVG-based libraries when handling large datasets or complex animations on mobile devices. Its technical architecture is defined by a modular, plugin-based system that allows for extensive customization without bloating the core bundle, which remains lightweight at approximately 60KB gzipped. In 2026, Chart.js maintains its market leadership through native TypeScript support, optimized ESM tree-shaking, and seamless integration with modern reactive frameworks like React, Vue 3, and Svelte 5. It is specifically designed for developers who need to balance aesthetic flexibility with out-of-the-box responsiveness. The library supports eight core chart types natively, with an ecosystem of hundreds of community-built plugins for advanced features like zoom, drag-and-drop, and financial indicators. As a community-driven project under the MIT license, it offers the highest level of enterprise trust and zero-cost scaling for high-traffic SaaS applications.
Uses the HTML5 Canvas API for immediate-mode rendering, allowing for thousands of data points to be drawn without DOM node overhead.
The open-source BI platform that turns your dbt project into a governed, version-controlled analytics engine.
Convert natural language prompts into high-performance SQL for the Atlassian Data Lake.
Transform fragmented datasets into navigable, high-fidelity neural knowledge graphs for RAG orchestration.
The Business Cloud: Modernizing workflows through real-time data integration, AI, and intuitive app experiences.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A sophisticated transition system that handles property interpolation for smooth data updates and entry effects.
Architecture based on ES modules allows developers to import only the controllers and elements they use.
Automatic data sampling and reduction algorithms to maintain performance when visualizing millions of points.
Ability to overlay different dataset types (e.g., Bar and Line) on a single set of axes.
Intelligent resizing logic that maintains aspect ratios and adjusts font/point sizes based on container dimensions.
Configuration properties can accept functions that evaluate context-aware data to return dynamic styles.
Need to display MRR, Churn, and LTV trends with interactive tooltips and framework-native reactivity.
Registry Updated:2/7/2026
Visualizing high-frequency temperature and pressure data from industrial sensors without lagging.
Plotting patient heart rate and oxygen levels over 24 hours for medical staff review.