# Chart styling library

> AI-ranked search results for `chart styling` on awesome-repositories.com — ordered by an LLM for relevance, best match first. 103 total matches; showing the top 30.

Explore on the web: https://awesome-repositories.com/q/chart-styling

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/chart-styling).**

## Results

- [apache/echarts](https://awesome-repositories.com/repository/apache-echarts.md) (66,629 ⭐) — 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
- [ecomfe/echarts](https://awesome-repositories.com/repository/ecomfe-echarts.md) (66,608 ⭐) — 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
- [highcharts/highcharts](https://awesome-repositories.com/repository/highcharts-highcharts.md) (12,463 ⭐) — Highcharts is a JavaScript charting library and interactive data visualization framework used to render complex datasets as visual charts and maps. It functions as a customizable SVG charting engine that produces scalable vector graphics for data series.

The library allows for the creation of interactive data visualizations with configurable colors, labels, and themes. It also provides a cross-platform visualization wrapper to embed these web-based charts into native iOS and Android mobile applications.

The toolkit supports the development of custom dashboards and provides options to build c
- [apexcharts/apexcharts.js](https://awesome-repositories.com/repository/apexcharts-apexcharts-js.md) (15,096 ⭐) — 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
- [chartjs/chart.js](https://awesome-repositories.com/repository/chartjs-chart-js.md) (67,526 ⭐) — 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
- [ecomfe/vue-echarts](https://awesome-repositories.com/repository/ecomfe-vue-echarts.md) (10,717 ⭐) — 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
- [recharts/recharts](https://awesome-repositories.com/repository/recharts-recharts.md) (27,241 ⭐) — 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
- [tanstack/react-charts](https://awesome-repositories.com/repository/tanstack-react-charts.md) (3,149 ⭐) — 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
- [frappe/charts](https://awesome-repositories.com/repository/frappe-charts.md) (15,088 ⭐) — 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
- [klinecharts/klinechart](https://awesome-repositories.com/repository/klinecharts-klinechart.md) (3,882 ⭐) — 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
- [hshoff/vx](https://awesome-repositories.com/repository/hshoff-vx.md) (20,867 ⭐) — 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
- [vega/vega-lite](https://awesome-repositories.com/repository/vega-vega-lite.md) (5,216 ⭐) — 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
- [britecharts/britecharts](https://awesome-repositories.com/repository/britecharts-britecharts.md) (3,723 ⭐) — 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
- [lecho/hellocharts-android](https://awesome-repositories.com/repository/lecho-hellocharts-android.md) (7,589 ⭐) — Hellocharts-android is a data visualization library and charting framework for Android applications. It provides a collection of custom view components used to render datasets as visual elements, such as line, column, and pie charts.

The library supports interactive visualizations that allow users to navigate data through touch gestures, including pinching, scrolling, and panning. It also includes built-in capabilities for animating data points and chart elements to create smooth visual transitions during dataset updates.

The framework covers a broad range of visualization needs, including c
- [airbnb/visx](https://awesome-repositories.com/repository/airbnb-visx.md) (20,629 ⭐) — 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
- [c3js/c3](https://awesome-repositories.com/repository/c3js-c3.md) (9,345 ⭐) — 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
- [chart-kit/react-native-chart-kit](https://awesome-repositories.com/repository/chart-kit-react-native-chart-kit.md) (3,106 ⭐) — 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
- [imanneo/fl_chart](https://awesome-repositories.com/repository/imanneo-fl-chart.md) (7,539 ⭐) — 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
- [chartscss/charts.css](https://awesome-repositories.com/repository/chartscss-charts-css.md) (6,569 ⭐) — charts.css is a CSS-driven framework designed to transform semantic HTML into accessible data visualizations without relying on JavaScript. It functions as a charting library that uses standard HTML structures, such as tables and lists, to render graphs while maintaining full compatibility with screen readers.

The project distinguishes itself by using CSS variables to map numeric data to visual dimensions and utility classes to control chart types and layouts. It supports a wide range of visual styles, including 3D effects, reflection effects, and customized color palettes integrated via a br
- [d3/d3](https://awesome-repositories.com/repository/d3-d3.md) (113,118 ⭐) — D3 is a modular library providing low-level primitives for creating data-driven visualizations. It functions as a flexible framework that allows for direct control over visual presentation by mapping abstract data dimensions to graphical properties, such as position, color, and size, without imposing predefined chart abstractions.

The library distinguishes itself by offering specialized tools for complex data representation, including algorithmic layouts for hierarchical structures and geographic projection utilities for mapping spherical coordinates. It also includes a comprehensive suite fo
- [plotly/plotly.js](https://awesome-repositories.com/repository/plotly-plotly-js.md) (18,227 ⭐) — 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
- [antvis/g2](https://awesome-repositories.com/repository/antvis-g2.md) (12,524 ⭐) — G2 is a declarative data visualization engine that constructs complex charts and graphical representations by mapping raw data to visual elements through a systematic grammar of graphics. It functions as a modular framework for building custom analytical visualizations, allowing users to define visual encodings and coordinate systems independently of the underlying data.

The library distinguishes itself through a multi-backend rendering pipeline that supports Canvas, SVG, and WebGL, ensuring consistent graphical performance across different environments. Its architecture relies on a plugin-ba
- [vega/vega](https://awesome-repositories.com/repository/vega-vega.md) (11,807 ⭐) — Vega is a reactive visualization engine that translates structured specifications into interactive, browser-based graphical representations. It functions as a declarative grammar for data visualization, allowing users to define complex charts and maps through a JSON-based configuration format rather than imperative code.

The system operates on a dataflow-based reactive graph that automatically propagates updates through the visualization whenever input data or user interactions change. By integrating a modular transformation pipeline, the engine handles data filtering, sorting, and aggregatio
- [chartsorg/charts](https://awesome-repositories.com/repository/chartsorg-charts.md) (28,000 ⭐) — 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
- [dc-js/dc.js](https://awesome-repositories.com/repository/dc-js-dc-js.md) (7,431 ⭐) — 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
- [apppear/chartview](https://awesome-repositories.com/repository/apppear-chartview.md) (5,633 ⭐) — ChartView is a SwiftUI-native charting library that provides bar, line, pie, and ring chart components within a unified grid-based layout system. The library renders charts by composing SwiftUI views declaratively from data models, letting the framework handle layout and updates without intermediate drawing layers.

The library supports multiple chart types that share a common grid layout, enabling composable data visualizations with synchronized axes and backgrounds. Bar charts display data as vertical bars, line charts plot connected data points with gradient fills and optional markers, pie
- [shutterstock/rickshaw](https://awesome-repositories.com/repository/shutterstock-rickshaw.md) (6,520 ⭐) — 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
- [tradingview/lightweight-charts](https://awesome-repositories.com/repository/tradingview-lightweight-charts.md) (13,794 ⭐) — Lightweight Charts is a specialized library for rendering interactive time-series financial data visualizations within web applications. It provides a high-performance, responsive component designed to display historical and live market trends through various graphical formats, including candlesticks, histograms, and line series.

The library distinguishes itself through a canvas-based rendering engine that decouples visual representation from raw data, enabling efficient updates and real-time monitoring of large datasets. It includes built-in support for accessibility, ensuring that interacti
- [naver/billboard.js](https://awesome-repositories.com/repository/naver-billboard-js.md) (5,980 ⭐) — 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
- [bqplot/bqplot](https://awesome-repositories.com/repository/bqplot-bqplot.md) (3,693 ⭐) — 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