Awesome GitHub RepositoriesComposite Visualizations

Chart.js is a declarative data visualization framework that renders interactive, responsive charts directly onto an HTML5 canvas element. It functions as a configuration-driven engine, transforming structured datasets into complex graphical representations by merging user-defined settings with global defaults. The library utilizes a high-performance rendering pipeline that executes drawing commands during each animation frame to maintain smooth visual feedback. The project distinguishes itself through a modular, extensible architecture that allows developers to register custom scales, control

Graphite is a node-based visual design environment that integrates vector illustration, raster image processing, and motion graphics generation into a single platform. It utilizes a functional reactive pipeline and a data-flow execution model to propagate state changes through a graph of interconnected nodes, allowing users to construct complex, automated design workflows. The platform distinguishes itself through a context-aware evaluation engine that injects runtime metadata—such as coordinate data and loop indices—directly into the node graph. This enables the creation of procedural geomet

Perspective is a columnar data analytics engine and high-performance visualization component powered by WebAssembly. It provides a system for analyzing and visualizing large or streaming datasets through interactive data grids and charts, utilizing a compiled binary to achieve near-native performance within the browser. The project distinguishes itself through a WebSocket-based data streaming interface and deep Apache Arrow integration, which minimize memory overhead when synchronizing tables between servers and clients. It acts as a remote query proxy capable of translating visualization con

This project is a comprehensive library of practical Python code examples and patterns. It provides a collection of scripts and snippets designed to demonstrate a wide range of programming tasks, from basic syntax to advanced implementation patterns. The repository focuses on several core domains, including the implementation of concurrency and multithreading examples, data analysis snippets for cleaning and manipulating tabular data, and various data visualization examples. It also covers automation scripts for file system management and a variety of general programming patterns. Additional

JimuReport is an open-source reporting and dashboard engine designed to be embedded directly into Spring Boot applications. Its core identity centers on generating data reports and full-screen dashboards from natural language descriptions, eliminating the need for manual design. The platform also provides a conversational query interface that translates plain-language questions into database queries, returning results as tables and charts without requiring SQL knowledge. What distinguishes JimuReport is its integration of AI skills that can be installed with a single command, enabling report

chart.xkcd is a client-side JavaScript library used to generate data visualizations as scalable vector graphics directly in the browser. It functions as a graphing utility that manipulates DOM elements to produce various chart types without requiring server-side dependencies. The library is distinguished by a rendering engine that applies randomized stroke offsets and variable line weights to SVG paths. This process simulates a sketchy, hand-drawn aesthetic for data charts, creating a comic-like visual style. The project supports a variety of visualization formats, including bar, line, circu

fl_chart is a charting library and data visualization toolkit for Flutter. It provides a collection of customizable widgets used to render datasets as visual graphics across mobile, web, and desktop platforms. The framework supports a variety of chart types, including line, bar, pie, scatter, radar, and candlestick charts. These tools enable the creation of data-driven dashboards and analytical reports, such as those used for tracking financial market trends and price movements.

dc.js is a multi-dimensional analysis tool and visualization framework used to build interactive data dashboards. It functions as a charting library that renders diverse SVG visualizations powered by D3 and integrates natively with Crossfilter to enable coordinated filtering across large datasets. The project is distinguished by its linked-view coordination, where selecting a data range or category in one chart simultaneously updates all other connected views. This allows for dynamic data exploration through dimensional chart linking and coordinated brushing, transforming raw datasets into na

yn एक मार्कडाउन टेक्स्ट एडिटर और नॉलेज मैनेजमेंट टूल है जिसे एक इंटरैक्टिव डॉक्यूमेंट कैनवास के रूप में डिज़ाइन किया गया है। यह विकी-लिंक्स, हैशटैग और लोकल फ़ाइल रिपॉजिटरी के माध्यम से जानकारी को व्यवस्थित करने के लिए एक नेटवर्क नोट-टेकिंग सिस्टम के रूप में कार्य करता है, जबकि स्वचालित टेक्स्ट जनरेशन और पूर्णता के लिए एक AI राइटिंग असिस्टेंट को एकीकृत करता है। यह प्रोजेक्ट अपनी मल्टी-इंजन डायग्रामिंग क्षमताओं के लिए जाना जाता है, जो Mermaid, PlantUML और ECharts का उपयोग करके टेक्स्ट-आधारित सिंटैक्स को विज़ुअल्स में रेंडर करता है। यह एक एक्स्टेंसिबल प्लगइन फ्रेमवर्क का उपयोग करता है जो JavaScript मॉड्यूल और इवेंट हुक के माध्यम से कस्टम UI तत्वों और सुविधाओं को जोड़ने की अनुमति देता है। एप्लिकेशन कंटेंट ऑथरिंग और तकनीकी क्षमताओं की एक विस्तृत श्रृंखला को कवर करता है, जिसमें LaTeX गणित रेंडरिंग, एकीकृत कोड निष्पादन और इंटरैक्टिव स्लाइड डेक का निर्माण शामिल है। यह नॉलेज ग्राफ विज़ुअलाइज़ेशन के माध्यम से उन्नत डॉक्यूमेंट संगठन प्रदान करता है और डॉक्यूमेंट एन्क्रिप्शन, वर्ज़न ट्रैकिंग और बैकएंड-ड्रिवन प्रारूप रूपांतरण के लिए उपयोगिताएँ शामिल करता है। एप्लिकेशन को कमांड लाइन पैरामीटर्स का उपयोग करके कस्टम पोर्ट्स, डेटा डायरेक्टरीज़ और एक्सेस मोड के साथ शुरू किया जा सकता है।

charts.css is a CSS-driven framework designed to transform semantic HTML into accessible data visualizations without relying on JavaScript. It functions as a charting library that uses standard HTML structures, such as tables and lists, to render graphs while maintaining full compatibility with screen readers. The project distinguishes itself by using CSS variables to map numeric data to visual dimensions and utility classes to control chart types and layouts. It supports a wide range of visual styles, including 3D effects, reflection effects, and customized color palettes integrated via a br

Chartkick is a Ruby on Rails visualization library and JavaScript charting wrapper that provides a high-level interface for integrating interactive charts into web applications. It functions as a multi-engine charting adapter, wrapping various JavaScript charting libraries to provide a consistent API for rendering data visualizations. The project is distinguished by its engine abstraction, which allows users to switch between different JavaScript charting libraries without modifying the underlying data sources. It also supports asynchronous data visualization, fetching chart data from remote

ScottPlot is a cross-platform, high-performance charting library for .NET that renders interactive plots across desktop and web GUI frameworks including Windows Forms, WPF, MAUI, Avalonia, Blazor, and WinUI. It provides an optimized rendering engine capable of displaying millions of data points with interactive pan, zoom, and live data streaming, while also supporting image export to formats like PNG and SVG for file output, cloud applications, and notebooks. The library distinguishes itself through a comprehensive set of chart types including scatter, line, bar, pie, heatmap, financial, rada

🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.

BizCharts is a React charting library that wraps the G2 grammar of graphics, providing declarative React components for building interactive data visualizations. It bridges G2's imperative charting API with React's declarative component model, enabling chart creation through nested component composition without writing imperative code. The library distinguishes itself by mapping G2's grammar of graphics primitives directly to React component types, allowing chart series like line, bar, and scatter to be expressed as interchangeable React components. It synchronizes G2 chart instance creation,

billboard.js is a JavaScript charting library built on D3.js that renders interactive data visualizations from a single declarative configuration object. It supports a wide range of chart types including bar, line, pie, scatter, area, spline, step, candlestick, funnel, gauge, heatmap, radar, polar, treemap, bubble, donut, and sparkline charts, and can overlay multiple chart types within a single visualization. The library offers an opt-in Canvas rendering mode for improved performance with large datasets and high-density axis displays, alongside its standard SVG-based rendering. The library d

Flot is an interactive charting library for jQuery that renders line, bar, pie, and time-series plots with zooming and panning. It provides interactive plots for engineering and scientific data with customizable axes, scales, and series styles, and supports real-time data updates. The library is built as a jQuery plugin with a canvas-based rendering pipeline and a plugin extension system that allows third-party code to add new chart types, interactions, and data transformations. The library distinguishes itself through a broad range of specialized chart types, including candlestick, bubble, r

MUI X is a collection of advanced React UI components for building data-rich applications, including a data grid, charting library, date and time pickers, scheduler, and tree view. The library is built with accessibility as a core principle, ensuring all components meet WCAG and WAI-ARIA standards for keyboard navigation and screen reader announcements. The components are designed for extensibility and performance. The data grid offers comprehensive data management with sorting, filtering, pagination, column pinning, row grouping, inline editing, and Excel export. The charting library support

vue-chartjs is a component library that wraps Chart.js chart types as reusable Vue components, integrating the charting library into Vue's component model. It provides reactive props binding so that charts automatically redraw when data or options change, and exposes the underlying Chart.js instance via template refs for direct programmatic access. The library also forwards Chart.js interaction events like clicks and hovers to Vue component event handlers, and applies ARIA labels to chart elements for screen reader support. The library distinguishes itself by offering typed Vue components for