Open-source alternatives to Vue Echarts

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,

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

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

This project is a comprehensive UI toolkit that provides a declarative, reactive framework for building modular web interfaces. It centers on a component-based architecture that maps application state to rendered elements, utilizing a twelve-point flexbox grid system and nested containers to manage complex layouts. The library ensures consistent behavior across large-scale applications by providing centralized configuration for component defaults, themes, and global design tokens. What distinguishes this framework is its deep integration of Material Design principles alongside a highly flexib

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

tui.chart is a statistical charting engine and data visualization library designed to render interactive charts and graphs for complex numerical datasets. It functions as a responsive charting framework capable of producing various statistical representations, including line, bar, scatter, bubble, and treemap charts. The library distinguishes itself through an interactive visualization system that supports synchronized tooltips across multiple charts, range-based zooming, and data series selection. It includes a layout engine that automatically adjusts chart dimensions and animations based on

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

pyecharts is a Python visualization library and wrapper for the Echarts JavaScript engine. It translates Python data and configurations into JSON specifications to generate interactive web-based charts and graphs. The library provides specialized capabilities for geographic data mapping using a comprehensive library of map assets to visualize spatial information. It also includes utilities to capture rasterized snapshots of rendered web visualizations for export as static image files. The tool supports rendering interactive plots directly within data science notebook environments and exporti

Vega-Lite is a high-level declarative language for specifying interactive, multi-view visualizations. It compiles a concise JSON specification into a full Vega visualization, automatically inferring scales, axes, and legends from encoding declarations. The grammar-of-graphics encoding maps data fields to visual channels such as position, color, size, and shape, while a multi-view composition grammar enables layered, faceted, concatenated, and repeated layouts. Reactive parameter binding links named parameters to input widgets, selections, and expressions for dynamic updates. The project suppo

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

SandDance is a hardware-accelerated visualization library and web-based data explorer designed for the interactive analysis of large, non-aggregated datasets. It functions as an interactive data visualization tool that renders complex datasets and intricate visuals within a browser. The project provides an embeddable data canvas consisting of web components and tags, allowing for the integration of full visualization interfaces and interactive charts into external web applications. It utilizes WebGL hardware acceleration to efficiently render large volumes of data as interactive graphics. Th

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

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

go-echarts is a data visualization library and wrapper for Go that generates JSON configurations for the ECharts JavaScript library. It functions as an HTML chart generator, allowing developers to create interactive charts and browser-based reports within Go applications. The library provides a collection of configurable chart types and predefined geographical map templates for rendering spatial information. It supports the creation of web dashboards by translating Go data structures into the JSON formats required for interactive browser rendering. The project handles the conversion of Go st

This is a chart library for rendering interactive data visualizations within WeChat Mini Programs using the Apache ECharts engine. It provides a set of visual components that use 2D canvas interfaces to render line, bar, pie, and scatter plots. The library utilizes a 2D canvas interface to increase drawing speed and resolve visual layering issues. It implements an interactive charting component that supports touch-based data interaction, allowing users to see detailed contextual information through formatted tooltips when tapping or hovering over data points. The project covers mobile data v

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

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

KLineChart is a high-performance financial charting library and data visualization engine. It uses native browser canvas APIs to render interactive candlestick charts and time-series financial data for web and mobile applications. The library is built as a plugin-based framework, allowing for the integration of custom calculation logic and rendering routines. This modular architecture enables the addition of technical analysis visualization tools and custom indicators to financial dashboards. The system handles real-time market data updates and computes technical indicators to visualize mark

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

react-native-maps is a cross-platform map component and visualization library for embedding interactive maps within mobile applications on iOS and Android. It provides a declarative interface for managing geospatial user interfaces, allowing for the rendering of geographical data and location-based features. The library enables the visualization of spatial data through the placement of markers, the creation of custom callouts, and the drawing of polylines and polygons as map overlays. It supports interactive map navigation, including the ability to animate map regions and customize the visual

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Vue 2 Component to make Autocomplete element.

datepicker component for Vue 2.x

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A simple Vue.js datepicker component. Supports disabling of dates, inline mode, translations