Projects sharing features with Visx

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

This library provides a set of tools for building dynamic data visualizations within React applications. It functions as a declarative framework that allows developers to define complex graphical representations through configuration settings rather than manual manipulation of the document object model. The library specializes in rendering interactive Cartesian charts, including line, bar, bubble, and area plots. It distinguishes itself by utilizing a coordinate-system-based mapping approach that translates raw data into pixel positions, combined with a component-based architecture that enabl

This project is a React-based framework for constructing interactive, node-based visual interfaces. It provides a platform for building canvases where users define, connect, and organize logical processes, data pipelines, or complex workflows through a graphical interface. By utilizing a modular component architecture, it enables the development of low-code environments, visual programming tools, and interactive diagramming applications. The framework distinguishes itself through a declarative approach where state changes automatically synchronize with the visual representation of nodes and e

react-stockcharts is a financial charting library built with React and D3 for visualizing market price data. It provides a system for rendering stock charts and candlestick visualizations to represent market movement. The library functions as a technical analysis tool that computes and overlays mathematical trading indicators on price charts. It includes an interactive interface for navigating financial data through zooming, panning, and the addition of manual geometric annotations. The project covers financial data visualization, market price tracking, and the creation of interactive tradin

react-chartjs-2 is a data visualization library that provides a set of React components acting as a wrapper for Chart.js. It allows for the rendering of interactive charts and graphs within a React application using a declarative approach. The library manages HTML5 canvas charting components by tying the lifecycle of Chart.js instances to the mounting and unmounting of the React component tree. It translates component props into the configuration objects required by the underlying engine to map datasets to visual elements. The project covers a range of frontend integration capabilities, incl

echarts-for-react is a React chart library and data visualization component that serves as a wrapper for the Apache ECharts library. It allows for the rendering of complex data visuals and graphs within a component-based architecture using declarative configurations. The library provides a mechanism to access the underlying visualization instance, enabling low-level operations such as image exporting and manual resizing. It also supports binding custom functions to visualization events to trigger application logic based on user interactions. The toolset covers general chart behavior configur

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

react-vis is a React data visualization library and declarative charting framework used to create composable graphical representations. It provides a system for rendering complex visualizations by composing simple building blocks into larger chart structures. The library includes specialized tools for hierarchical data mapping via sunburst diagrams and tree maps, as well as flow and relationship visualization using Sankey diagrams. It also provides a multivariate data visualizer for plotting high-dimensional data through parallel coordinates, radar charts, and radial visualizations. The fram

Angular-chart.js is a frontend charting library that provides a set of reusable directives for integrating the Chart.js visualization engine into AngularJS applications. It functions as a wrapper that encapsulates complex rendering logic within declarative components, enabling the creation of interactive and responsive graphical data representations. The library distinguishes itself by providing reactive data synchronization, which automatically triggers canvas re-renders whenever underlying data or configuration models change. It also utilizes a provider-based configuration system, allowing

DataV is a big screen visualization framework designed for high-impact data displays. It provides a collection of libraries for both Vue and React to build large-scale data dashboards featuring interactive charts and visual elements. The toolkit includes a specialized decoration kit of scalable vector graphics used to add borders and frames to professional data display screens. It focuses on complex data visualization, including the rendering of specialized charts such as water level and flight line maps. The framework covers a broad capability surface for data dashboard visualization, provi

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

ggpy is a Python library for statistical data visualization based on the grammar of graphics. It functions as a declarative framework for building complex charts by mapping data variables to visual properties through a structured coordinate system. The library enables the construction of composite visualizations by layering geometric shapes and statistical summaries. It utilizes a system of continuous and discrete scales to translate raw data into visual attributes and supports facet-based plotting to segment a single visualization into a grid of subplots based on variable categories. Visual

nvd3 is a data visualization framework and reusable web graphing library. It provides a collection of interactive charting components built on top of the D3.js library to render complex datasets as graphics within a web browser. The library functions as a wrapper for D3.js, offering predefined chart types and modular templates. This implementation allows for the creation of custom data graphs and web dashboards without requiring the author to write low-level SVG code from scratch. The system utilizes SVG-based vector rendering and attribute-driven styling to generate visualizations. It incor

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

Ant Design Charts is a data visualization framework and declarative component library designed for React applications. It provides a collection of reusable components that map complex datasets to graphical representations, enabling the creation of interactive charts, plots, and maps within web interfaces. The library utilizes a grammar-based mapping system to transform raw data into visual properties, supported by a layered graphic abstraction that separates data representation from interactive elements. It employs a canvas-based rendering engine to maintain performance when handling large da

bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of graphics. It functions as a tool for creating 2D charts and maps with real-time updates and bidirectional communication between the kernel and frontend. The library is distinguished by its ability to act as a geographic data visualization tool, rendering choropleth maps and spatial data via GeoJSON and custom projections. It also serves as a financial charting tool for producing OHLC and candle bar charts, and as an interactive dashboard framework for combining plotting widgets wit

React Native Chart Kit is a library of responsive charting components designed for rendering interactive data visualizations within cross-platform mobile applications. It provides a suite of UI elements that map data properties to visual representations, utilizing scalable vector graphics to maintain clarity across diverse screen densities and resolutions. The library distinguishes itself through a platform-agnostic layout engine that ensures consistent alignment and responsiveness across different mobile devices. It integrates directly with native touch event systems, enabling users to explo

Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network graphs. It provides a framework-agnostic set of primitives for creating data dashboards and specialized visualizations. The library is distinguished by its dedicated toolkits for different visualization domains, including an XY charting library for coordinated plots, a network graph framework for relational data, and a geospatial visualization toolkit for TopoJSON-based mapping. Its capability surface covers a wide range of data representations, including linear, area, and bar ch

ggplot2 is a data visualization library for R based on a formal grammar of graphics. It provides a declarative plotting framework that allows users to create complex graphics by combining geometric objects, statistical summaries, and coordinate systems. The system is distinguished by a layered approach to composition, where visualizations are built incrementally by stacking independent geometric, statistical, and coordinate layers. It utilizes a hierarchical styling engine to manage non-data elements such as backgrounds, fonts, and margins, and includes a multi-panel faceting tool for splitti

c3 is a charting library for creating reusable data visualizations and interactive charts based on the D3 JavaScript framework. It functions as a declarative visualization framework that generates complex charts through high-level configurations rather than manual SVG manipulation. The project provides a reusable chart component library and a tool for converting raw datasets into scalable vector graphics. These capabilities allow for the implementation of interactive data visualizations and web-based data reporting using standardized templates. The library supports the development of custom

ngx-charts is an Angular charting library and SVG data visualization framework. It provides a set of declarative UI components for rendering animated and interactive charts and graphs within Angular applications. The library allows for the assembly of specialized visualizations by combining low-level internal charting components. It supports the creation of custom charts through the use of mathematical scales, shape generators, and CSS styling overrides. The framework covers a wide range of visualization types, including comparison charts such as bar and line graphs, distribution visualizati

metrics-graphics is a data visualization library and declarative graphics framework designed to create principled data graphics and layouts. It functions as a statistical graphics engine that maps raw data to geometric shapes and structured objects to render complex, data-driven layouts. The toolkit specializes in rendering time-series data through line charts and scatterplots using a consistent layout system. It also provides capabilities for statistical distribution mapping, including the creation of rug plots to represent one-dimensional data density. The system covers a broad surface of

This project is a type-safe web application template and admin dashboard starter built with Next.js, TypeScript, and the shadcn/ui component library. It serves as a multi-tenant SaaS boilerplate designed for developing administrative interfaces and software-as-a-service applications. The starter distinguishes itself through integrated SaaS infrastructure, including multi-tenant workspace management, organization-level permissions, and subscription billing integration. It features role-based access control to gate specific pages and navigation items based on user roles or subscription tiers.

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

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

PNChart is an iOS charting framework and data visualization library designed for rendering interactive visual data representations within native Apple mobile environments. It provides a toolkit for creating animated line and pie charts to illustrate data trends and proportional datasets. The library specializes in animated data representation, using motion effects and transitions to highlight information changes over time. It supports real-time chart data updates, allowing visualizations to reflect new information dynamically without rebuilding the entire user interface. The framework covers

JBChartView is an iOS charting library and data visualization framework used to render interactive line and bar graphs. It provides reusable user interface components for displaying numerical data series through smooth line curves and grouped or horizontal bar charts. The framework is distinguished by its ability to morph bars and lines between different data states, creating visual transitions that represent changes in underlying data models. It also includes interaction handling that detects user selections on specific data points and returns the associated model instances. The library cov