Open-source alternatives to Echarts For React

Epoch is a CSS-stylable charting engine and visualization library designed for real-time and statistical data. It functions as a timeseries charting tool that renders historical and live data using a hybrid of SVG and HTML5 Canvas graphics to maintain performance during frequent updates. The library distinguishes itself through a unified CSS querying system that applies styles to both vector and raster plot elements. This allows for visual theme resolution via CSS classes and the ability to customize the appearance of specific data series using stylesheets. The toolset covers a broad range o

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

react-vis is a declarative, component-based React data visualization library. It provides a framework of reusable building blocks for rendering interactive charts and graphs by mapping raw data to visual attributes such as position, color, and size. The system leverages D3 for its scaling and layout logic. The library is distinguished by its ability to handle complex data relationships, including hierarchical data via tree maps and circle packing, as well as multidimensional analysis using parallel axes and radar charts. It also supports network flow mapping to illustrate the volume and direc

Victory is a React data visualization library and composable visualization toolkit used to build interactive charts and graphs. It functions as an SVG charting framework that renders scalable data visualizations designed to maintain consistency across different web browsers and operating systems. The project provides a collection of reusable UI primitives that combine to form complex interactive data layouts. This component-based approach allows for the construction of sophisticated graphs by composing modular visualization elements within React applications.

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

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

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

Library for animated data visualizations and data stories.

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

lit-line is a minimal line chart web component for modern websites.

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

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

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

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

Live-Charts is a .NET data visualization library providing a collection of interactive charts, maps, and gauges. It functions as a real-time charting engine and multi-format graphics library designed to render complex data sets within .NET applications. The library features tools for creating interactive data dashboards capable of exploring large datasets. This is supported by a system for zooming, panning, and utilizing multiple coordinate axes to navigate hundreds of thousands of data points. The visualization engine supports a variety of formats including bars, lines, heat maps, and geogr

Dash is a Python-based framework for building analytical web applications and reactive data dashboards. It allows developers to connect data science and machine learning code to interactive web interfaces without writing JavaScript, serving as a backend-driven tool for defining layouts and managing state. The framework integrates the Plotly charting engine to render a wide variety of complex charts and financial graphs. It distinguishes itself through a reactive callback system that links user input components to data visualizations, enabling the creation of business intelligence dashboards a

This project is a declarative data visualization library that provides a composable suite of user interface components for rendering interactive charts. It functions as an SVG-based charting engine, allowing developers to construct complex visualizations by nesting modular building blocks such as axes, grids, legends, and data series within a unified layout. The library distinguishes itself through a highly responsive architecture that automatically reconciles layout changes and maps data domains to pixel coordinates using mathematical scale functions. It prioritizes performance through memoi

WilliamChart is an Android data visualization library and toolkit used to render interactive charts and graphs within Android applications. It functions as a UI component library for integrating data-driven dashboards and metrics into Android layouts. The library includes a specialized component for representing proportional categorical data as donut charts, which are circular charts with hollow centers. It provides a drawing engine that uses low-level APIs to map numerical data to pixel coordinates on the screen.

vis is a JavaScript data visualization library used to render interactive networks, timelines, and graphs directly in the web browser. It functions as a relational data mapper and browser-based charting tool, turning complex structured data into dynamic visual patterns to expose entity relationships. The library provides specialized tools for force-directed network graphs, where relational data is represented as interactive nodes and edges. It also includes an interactive timeline component for plotting chronological events and time intervals on a scalable temporal axis. The project covers b

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

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

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

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

vue-echarts is a declarative charting wrapper and Vue.js component for the Apache ECharts library. It functions as a data visualization library that maps configurations and data updates to a rendering engine, enabling the embedding of interactive graphs and charts as reusable web components. The project provides a system for managing visual consistency through theme configuration and context-based injection. It allows for deep customization of the visualization interface, including the use of scoped slots to render custom HTML markup within tooltips and the construction of complex graphic ele

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,

Open Source Javascript Gantt

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