Awesome GitHub RepositoriesJavaScript Charting

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

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

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

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

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

roughViz is a JavaScript data visualization library used to create charts with a hand-drawn, sketchy aesthetic. It functions as an SVG charting framework that renders visualizations in the browser, prioritizing the communication of general trends and patterns over absolute precision. The library provides a collection of tools to generate several chart types, including bar, line, pie, donut, and scatter plots, as well as stacked bar charts. These visualizations are produced using a non-linear drawing style to present technical information in an informal, organic appearance.

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

tui.chart 是一款统计图表引擎和数据可视化库，旨在为复杂的数值数据集渲染交互式图表和图形。它作为一个响应式图表框架，能够生成各种统计表示，包括折线图、柱状图、散点图、气泡图和树状图。 该库的特色在于一个交互式可视化系统，支持跨多个图表的同步工具提示、基于范围的缩放以及数据系列选择。它包括一个布局引擎，可根据查看容器的大小自动调整图表尺寸和动画。 该系统涵盖了广泛的渲染功能，包括通过树状图进行的层级数据映射、颜色编码的热力图，以及处理实时数据更新以进行实时监控的能力。其他实用领域包括数据导出功能和修改活动可视化外观的动态配置更新。

echarts-for-react 是一个 React 图表库和数据可视化组件，作为 Apache ECharts 库的包装器。它允许在基于组件的架构中使用声明式配置来渲染复杂的数据可视化和图表。 该库提供了一种访问底层可视化实例的机制，从而实现图像导出和手动调整大小等底层操作。它还支持将自定义函数绑定到可视化事件，以根据用户交互触发应用程序逻辑。 该工具集涵盖了通用图表行为配置和更新策略。它还支持仅导入特定组件以减小整体应用程序包的大小。

Epoch 是一个 CSS 可样式化的图表引擎和可视化库，专为实时和统计数据设计。它作为一个时间序列图表工具，使用 SVG 和 HTML5 Canvas 图形的混合体来渲染历史和实时数据，以在频繁更新期间保持性能。 该库通过一个统一的 CSS 查询系统脱颖而出，该系统将样式应用于矢量和栅格绘图元素。这允许通过 CSS 类进行视觉主题解析，并能够使用样式表自定义特定数据序列的外观。 该工具集涵盖了广泛的可视化类型，包括用于趋势分析的折线图、面积图、柱状图和热力图，以及用于仪表盘的仪表盘、饼图和分组柱状图。它还通过使用离散桶分组和颜色混合来显示数据集中度的散点图和直方图，提供了统计探索功能。

Library for animated data visualizations and data stories.

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