Open-source alternatives to React Vis

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

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

react-chartjs-2 is a data visualization library that provides a set of React components to integrate the Chart.js library. It serves as a component-based charting interface for rendering dynamic data visualizations and graphs based on structured data sets. The project provides a declarative way to manage chart configurations and data updates. It maps component props to the underlying charting engine, allowing users to modify visual options and data dynamically to refresh displays. The library covers broader data visualization development, including the implementation of dynamic dashboards an

Evilcharts is a data visualization library and animated charting framework designed to render interactive data graphics. It functions as a responsive data graphics engine that transforms raw data sets into visual formats such as bars, lines, and pies. The project focuses on interactive data visualization by incorporating motion triggers and visual transitions. It provides tools for custom chart styling to align visual effects and colors with specific brand guidelines and design requirements. The engine manages responsive data dashboards through automatic layout scaling to maintain consistenc

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

Rickshaw is a JavaScript library for building interactive, SVG-based time series charts in the browser. It provides a framework for rendering line, area, bar, and scatterplot visualizations from data series, with built-in support for axes, legends, color palettes, and interactive controls. The library distinguishes itself through a plugin-based architecture that allows renderers to be swapped at runtime, such as switching between stacked area and line chart views while preserving chart state. It includes an event-driven interaction layer for hover details, click behaviors, and drag-based rang

Britecharts is an SVG data visualization toolkit and D3.js charting library. It functions as a composable visualization framework and interactive charting interface used to render data-driven graphics. The library provides a variety of chart types, including line, bar, scatter, donut, sparkline, step, and bullet charts, as well as stacked area and grouped bar charts. It supports interactive elements such as brush interfaces for zooming into date ranges and informational tooltips for data overlays. The framework includes capabilities for visual configuration, such as axis scaling, color schem

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

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

Davinci is a business intelligence and data visualization platform used for building interactive dashboards and reports. It functions as a SQL-based dashboard builder and multi-tenant analytics service that connects to databases via JDBC and CSV files to transform raw data into visual components. The platform is distinguished by its granular security model, which includes row-level and column-level permissions integrated with LDAP and OAuth2 authentication. It also provides an embedded visualization tool that allows secure, parameterized charts and dashboards to be inserted into external appl

tui.chart is a JavaScript data visualization library and multi-type charting engine used to render interactive statistical charts. It functions as a responsive charting framework and real-time data visualizer, utilizing HTML5 Canvas for high-performance rendering of diverse datasets. The library provides a wide array of visual formats, including linear, circular, grid-based, hierarchical, and statistical chart types. This covers everything from standard bar, line, and pie charts to more specialized visualizations such as radar charts, treemaps, bubble charts, and box plots. The engine includ

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

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

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,

F2 is a cross-platform charting engine and grammar-based visualization tool designed to render interactive data visualizations. It functions as a declarative system that allows users to build complex charts by defining the relationships between data dimensions and visual encoding channels. The framework is specifically optimized for mobile data visualization, providing a toolkit for creating touch-optimized charts. It supports custom data visualization styling, enabling the use of personalized shapes and animations to define a unique visual identity. The engine provides a platform-agnostic r

v-charts is a Vue charting framework and component library that provides a simplified interface for rendering complex data visualizations. It acts as a wrapper for the ECharts visualization engine, allowing the creation of customizable charts and graphs within Vue applications. The library focuses on simplifying the integration of ECharts by replacing manual configuration with reusable components. It maps simplified data inputs to the required configuration objects and synchronizes the chart lifecycle with the framework to manage instance creation and disposal. The project covers frontend ch

go-chart is a data visualization library for the Go programming language used to programmatically render data series into visual charts. It functions as a tool for generating line, bar, and pie charts, specifically producing these visualizations as images. The library includes an SVG image generator to produce scalable vector graphics of data plots from Go source code. It allows for the configuration of chart axes and scales to create single-axis, dual-axis, or sparkline visualizations.

vue-echarts is a data visualization library and a reactive wrapper for Apache ECharts, designed to integrate complex charts and graphics into Vue.js applications using a declarative, component-based approach. It functions as an interface that synchronizes charting engine instances with reactive state. The project provides a declarative graphics interface for building custom chart overlays, shapes, and text elements using a component-based slot architecture. It distinguishes itself by allowing the injection of custom components into chart elements, such as tooltips, via scoped slots rather tha

morris.js is a JavaScript data visualization library and SVG charting framework. It is designed to render time-series line, bar, area, and donut charts to visualize complex datasets and distribution patterns. The library specializes in time-series charting to display temporal trends and track how specific values change over time. It provides tools for statistical data representation, allowing for the comparison of different data sets or the illustration of proportions within a whole. The framework enables the creation of web dashboard analytics by transforming raw data into graphical represe

Rough Charts is a React-based charting library that provides a set of modular components for building data visualizations. It enables the creation of custom charts and graphs through a declarative syntax, allowing developers to compose complex layouts by nesting individual elements like axes, series, and tooltips. The library distinguishes itself by applying a procedural, hand-drawn aesthetic to all rendered graphics. By utilizing randomized offsets to generate irregular line paths, it produces visualizations that mimic the appearance of sketches. This style is applied to standard chart eleme

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

This project is a charting library designed for the React Native framework, providing a collection of reusable components for rendering data visualizations within mobile applications. It functions as a cross-platform interface tool that maps coordinate arrays to graphical elements, allowing developers to display statistical information consistently across both iOS and Android environments. The library enables the creation of line, bar, and pie charts through a declarative component structure. By mapping JavaScript properties to platform-specific drawing primitives, it facilitates the integrat

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

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

fl_chart is a data visualization library and UI component framework for Flutter. It provides a system of reusable graphical widgets for creating interactive, customizable quantitative data visualizations. The framework supports a variety of chart types, including line, bar, pie, donut, scatter, radar, and candlestick views. It allows for the creation of complex visualizations such as layered data segments and financial charts. The library includes capabilities for interactivity and visual refinement, such as touch event handling, data tooltips, and state animations. It also provides tools fo

This project provides a collection of reusable UI components for rendering interactive, data-driven charts within web applications. It functions as a bridge between the framework's component-based architecture and low-level graphics libraries, allowing developers to encapsulate complex visualization logic into standard elements. The library distinguishes itself by integrating reactive data binding and lifecycle management directly into the charting process. This ensures that visual representations, such as bar, line, and pie charts, automatically synchronize with underlying data models and ad

Charts is a mobile data visualization library designed for rendering interactive graphical representations of complex datasets. It provides a declarative configuration interface that maps data structures to visual components, supporting a variety of chart types including line, bar, pie, scatter, and radar plots. The library distinguishes itself through a hardware-accelerated drawing layer that ensures high-performance rendering across mobile platforms. It features a gesture-driven transformation engine that enables users to pan, zoom, and scale views, alongside an interpolated animation syste