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
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
bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model, allowing users to build complex 2D charts by combining marks, scales, and axes. The library distinguishes itself with specialized toolkits for financial charting, such as OHLC candlesticks and time-series analysis, and geographic data visualization, including choropleths and custom map projections for TopoJSON and GeoJSON data. It enables deep interaction through tools like lasso selection, rectangular brushing, and the ability to manually manipulate plot points or line data.
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
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…
flot/flot की मुख्य विशेषताएं हैं: jQuery Plugins, Data Visualization Charts, General Chart Renderers, Time-Series Chart Renderers, Time-Series Visualizers, Chart Interaction Controls, Chart Plugin Extensions, Interactive Scientific Plot Constructors।
flot/flot के ओपन-सोर्स विकल्पों में शामिल हैं: naver/billboard.js — billboard.js is a JavaScript charting library built on D3.js that renders interactive data visualizations from a… nhn/tui.chart — tui.chart is a JavaScript data visualization library and multi-type charting engine used to render interactive… bloomberg/bqplot — bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model,… chartscss/charts.css — charts.css is a CSS-driven framework designed to transform semantic HTML into accessible data visualizations without… swimlane/ngx-charts — ngx-charts is an Angular charting library and SVG data visualization framework. It provides a set of declarative UI… mui/mui-x — MUI X is a collection of advanced React UI components for building data-rich applications, including a data grid,…