88 रिपॉजिटरी
Comprehensive libraries and engines for programmatic rendering of charts, distinguished from specialized chart types or utility components.
Explore 88 awesome GitHub repositories matching user interface & experience · Charting Frameworks. Refine with filters or upvote what's useful.
यह प्रोजेक्ट टूल और डिबगिंग इंटरफेस के तेजी से विकास के लिए डिज़ाइन की गई एक इमीडिएट-मोड ग्राफिकल यूजर इंटरफेस लाइब्रेरी है। हर फ्रेम में प्रक्रियात्मक कोड के माध्यम से UI ज्यामिति उत्पन्न करके, यह एप्लिकेशन डेटा और इंटरफेस के बीच निरंतर स्थिति सिंक्रोनाइज़ेशन की आवश्यकता को समाप्त करता है। यह मुख्य रूप से मौजूदा रेंडरिंग पाइपलाइनों में एकीकरण के लिए अभिप्रेत है। लाइब्रेरी एक अत्यधिक डिकूपल्ड आर्किटेक्चर के माध्यम से खुद को अलग करती है जो जटिल, डॉकेबल और मल्टी-व्यूपोर्ट लेआउट का समर्थन करती है। यह विंडोज़ की स्थिति, टैब ड्रैगिंग और नोड स्प्लिटिंग का प्रबंधन करती है, जिससे डेवलपर्स इंटरफेस तत्वों को स्वतंत्र ऑपरेटिंग सिस्टम विंडोज़ में अलग कर सकते हैं। फ्रेमवर्क परिष्कृत इंजन टूलिंग और डायग्नोस्टिक उपयोगिताओं के निर्माण के लिए एक व्यापक क्षमता सतह प्रदान करता है। इसमें नोड एडिटर्स, 2D और 3D प्लॉटर्स जैसे उन्नत दृश्य घटकों के लिए समर्थन शामिल है।
Renders advanced two-dimensional data plots and visualizations directly within the immediate-mode interface.
This project is a community-driven knowledge base that serves as a centralized directory for the React and React Native ecosystems. It functions as a developer discovery portal, aggregating high-quality libraries, frameworks, and learning resources to assist in the research and selection of tools for modern web and mobile application development. The repository distinguishes itself through a hierarchical taxonomy that organizes a fragmented landscape of third-party software into functional domains. By utilizing markdown-based content curation, it provides a structured index that allows develo
Identifies visualization components and charting frameworks built specifically for interactive data representation.
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
Generates interactive graphical representations of complex datasets to visualize trends and patterns within web interfaces.
Apache ECharts is a JavaScript data visualization library used for rendering interactive charts and complex data visualizations in web browsers. It functions as a canvas-based charting engine and a statistical data visualization suite that transforms datasets into visual representations. The framework provides specialized capabilities for three-dimensional data visualization, including the generation of 3D plots and globe visualizations. It also serves as a web-based geographic mapping tool for overlaying heatmaps, routes, and data distributions onto interactive maps. The library covers a br
Functions as a high-performance rendering engine that transforms large datasets into interactive charts using HTML5 canvas.
ECharts is a JavaScript data visualization library and web charting framework used to render interactive 2D and 3D data plots within a web browser. It functions as a visualization engine that transforms raw data into customizable charts and graphs. The project includes a WebGL-based hardware acceleration engine specifically for producing three-dimensional plots and globe visualizations. This allows the library to handle large and complex datasets through GPU-accelerated rendering. The framework supports both canvas-based raster rendering and SVG-based vector rendering. It provides capabiliti
Provides a comprehensive engine for the programmatic rendering of customizable 2D and 3D data plots.
This project is a curated resource repository that serves as a comprehensive directory of design assets and development tools. It provides a structured collection of high-quality links intended to help developers discover essential resources for their technical projects and user interface designs. The directory is distinguished by its community-driven approach, relying on collaborative peer review and external contributions to maintain an up-to-date index of resources. It functions as a frontend development toolkit, offering a categorized list of UI libraries, CSS frameworks, and animation to
Highlights charting libraries for rendering interactive data visualizations within user interfaces.
This project is a community-curated directory of resources, libraries, and tools designed to support developers working with the Flutter framework. It functions as a centralized knowledge base, organizing high-quality external references into a structured, human-readable format to assist in the discovery of technical materials for cross-platform application development. The directory distinguishes itself through a comprehensive index of the global Flutter ecosystem, including local user groups, meetups, and communication channels that connect developers to international support networks. It m
Highlights graphical libraries capable of rendering interactive charts, sparklines, and complex data visualizations.
BCC is an eBPF development toolkit and tracing framework used for monitoring and analyzing the Linux kernel. It functions as a performance analysis tool and debugging utility to capture system events, measure kernel latency, and provide network observability. The project distinguishes itself by providing a build system that integrates with LLVM to compile C-like code into BPF bytecode at runtime. It utilizes BPF Type Format data for relocations to maintain cross-kernel compatibility and extracts kernel headers to ensure the generated programs match the specific kernel version. The toolkit co
Visualizes BPF map data using ASCII-based linear and logarithmic histograms for statistical analysis.
Rough is a graphics library designed to render shapes and paths with a hand-drawn, sketchy aesthetic on web pages. It functions as a generator for informal visual styles, allowing developers to create illustrations and diagrams that mimic the appearance of human-drawn sketches. The library distinguishes itself by using procedural rendering to calculate randomized offsets for lines and curves, simulating natural imperfections. It employs deterministic seeding to ensure that these variations remain consistent across renders, while providing hachure-based texture filling to apply stylized shadin
Acts as a graphics library for rendering shapes and paths with a hand-drawn aesthetic on HTML5 canvas or SVG elements.
vx is a declarative charting framework and SVG data visualization library. It serves as an integration layer that combines D3 mathematical scales and shapes with a component-based UI for rendering visualizations. The project provides a set of building blocks for constructing custom charts and diagrams using React components. It bridges mathematical data and visual representation by utilizing low-level primitives to manage scalable vector graphics without manual document object model manipulations. The library covers a broad capability surface including custom chart development, declarative S
Provides visualization components specifically designed for the React ecosystem to bridge data and visual representation.
Visx is a collection of modular, low-level primitives designed for building custom data visualizations within a React component architecture. It functions as a toolkit for mapping data to coordinate systems and geometric shapes, allowing developers to construct bespoke charts and graphs that integrate directly into the standard component lifecycle. The library utilizes a decoupled package architecture, enabling the use of specific visualization utilities without requiring the entire framework. By leveraging established mathematical primitives for geometric calculations and functional data tra
Provides a React-based framework for building custom, interactive data visualizations.
FlameGraph is a performance profiling and visualization toolkit designed to identify bottlenecks in software execution. It functions as a processing engine that transforms raw stack trace samples into interactive, hierarchical diagrams. By representing aggregated execution frequency as nested rectangles, the tool allows developers to visualize hot code paths and analyze system behavior across both kernel and user-space environments. The project distinguishes itself through its ability to perform differential profile analysis, which highlights performance regressions or improvements by compari
Combines density and rug plots to display high-frequency data modes and individual outliers.
Plotly.js is a JavaScript charting library and interactive graphing framework used to create web-based visualizations. It functions as a high-performance data visualization engine that utilizes both SVG for static elements and WebGL for hardware-accelerated rendering of large datasets and complex 3D plots. The library is distinguished by specialized toolkits for financial analysis, such as candlestick and OHLC charts, and geographic mapping tools for rendering choropleth and scatter maps with custom projections. It also supports complex scientific visualizations, including Sankey diagrams, pa
Implements a high-performance JavaScript library for creating interactive web-based visualizations using SVG and WebGL.
This project is an educational resource designed to teach the mathematical foundations and core algorithms of reinforcement learning. It provides a structured academic curriculum that combines textbooks, lecture materials, and practical code examples to guide learners through the principles of Markov decision processes and reinforcement learning theory. The repository distinguishes itself by integrating a grid-based simulation framework that allows users to test algorithms within custom environments. This environment supports the analysis of agent performance by rendering state values, polici
Renders learned agent behaviors and state value distributions as static heatmaps or animated plots for analysis.
Tremor is a React component library designed for building analytical dashboards and data-driven web interfaces. It provides a collection of modular UI elements and pre-styled charts that allow developers to render complex datasets into clear visual summaries. The library functions as a utility-first UI kit that integrates with styling frameworks to ensure consistent design across dashboard layouts. By utilizing a declarative composition model, it enables the assembly of interfaces through reusable layout containers and property-driven visual configuration, decoupling raw data processing from
Plots data distributions on grids to reveal correlations and outliers within datasets.
Pygwalker is a library that transforms tabular data into interactive, drag-and-drop interfaces for exploratory analysis and visualization. It functions as a grammar-based framework that translates user interactions into declarative chart definitions, allowing for the creation of dynamic data exploration environments directly within notebooks or embedded web applications. The system distinguishes itself by offloading heavy analytical computations to backend kernels, which maintains responsiveness when visualizing large datasets. It supports the serialization of visual states into portable conf
Provides a library for generating and embedding dynamic data visualizations that allow users to explore datasets through graphical configuration.
This project is a client-side data visualization framework and SVG charting library used to render responsive, interactive charts in a web browser. It functions as a lightweight utility for generating scalable vector graphics and data annotations without external dependencies. The library enables the creation of custom SVG charts with adjustable colors and animations to meet specific design requirements. It supports dynamic data updates and the addition of markers, regions, and tooltips to provide context to specific data points. The system covers broad capability areas including responsive
Provides a collection of responsive data visualizations rendered using scalable vector graphics with no external dependencies.
ApexCharts is a comprehensive JavaScript charting library designed for building interactive, responsive, and data-driven visualizations within web applications. It functions as a versatile data visualization framework that supports a wide range of chart types, including categorical, statistical, and financial plots, enabling developers to construct complex dashboards and real-time monitoring interfaces. The library distinguishes itself through a deep commitment to accessibility and high-performance interactivity. It provides built-in support for keyboard navigation, screen readers, and high-c
Ships a comprehensive JavaScript library for rendering interactive, responsive, and data-driven visualizations in web applications.
Nivo is a responsive charting framework and a React data visualization library that uses D3 for its underlying math logic. It serves as both a collection of interactive chart components for web applications and a server-side visualization engine for generating static data chart images. The project distinguishes itself by providing a containerized chart rendering API, allowing the visualization engine to be deployed via Docker to serve rendered graphics as images or files through a programmatic interface. It also features a motion engine for animated data transitions, ensuring smooth visual sh
Provides a comprehensive collection of interactive charting components specifically designed for the React ecosystem.
Seaborn is a Python library designed for statistical data visualization. It functions as a high-level interface built on the Matplotlib ecosystem, providing specialized routines to explore and communicate complex patterns within datasets. The framework enables users to generate informative graphics through automated statistical aggregation, multi-plot faceting, and integrated regression modeling. The library distinguishes itself through a declarative approach to data mapping, which translates raw inputs into visual properties like color, size, and position. It includes a robust statistical tr
Represents univariate or bivariate distributions using histograms, density estimates, or cumulative distribution functions.