Rough is a graphics library designed to render shapes and paths with a hand-drawn, sketchy aesthetic on web pages. It functions as a generator for informal visual styles, allowing developers to create illustrations and diagrams that mimic the appearance of human-drawn sketches.
Die Hauptfunktionen von rough-stuff/rough sind: SVG Diagramming Libraries, Vector Graphics Editors, HTML5 Canvas Charting Libraries, Hand-Drawn Graphics Libraries, Vector Graphics Rendering, Sketchy Fill Generators, Data Visualization, SVG-Based Vector Rendering.
Open-Source-Alternativen zu rough-stuff/rough sind unter anderem: leeoniya/uplot — uPlot is a high-performance canvas time series charting library designed to render millions of data points with high… chartjs/chart.js — Chart.js is a declarative data visualization framework that renders interactive, responsive charts directly onto an… apache/echarts — Apache ECharts is a JavaScript data visualization library used for rendering interactive charts and complex data… jgraph/mxgraph — mxgraph is a client-side graph visualization tool and JavaScript diagramming library. It functions as an SVG-based… hshoff/vx — vx is a declarative charting framework and SVG data visualization library. It serves as an integration layer that… jgraph/drawio — drawio is a web-based diagramming tool and cross-platform visual designer used for creating flowcharts, network maps,…
uPlot is a high-performance canvas time series charting library designed to render millions of data points with high frame rates. It functions as a high-frequency data visualizer and a real-time data stream plotter, utilizing the HTML5 Canvas API to maintain responsiveness when plotting large temporal datasets. The project distinguishes itself as a plugin-based visualization framework that allows for custom renderers to create specialized visuals such as heatmaps and box-and-whisker plots. It also serves as an interactive financial charting tool, specifically supporting OHLC charts, bars, and
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
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
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