This project is a client-side data visualization tool and vector graphics generator that transforms tabular data into customizable SVG graphics. It functions as a browser-based visualization engine that processes datasets locally, ensuring that sensitive information is not transmitted to a server.
rawgraphs/rawgraphs-app 的主要功能包括:Client-Side Data Ingestion, CSV and TSV Loaders, Tabular Data Loaders, Client-Side Charting Utilities, SVG-Based Vector Rendering, SVG Data Visualization, Vector Chart Generators, Browser-Based Execution。
rawgraphs/rawgraphs-app 的开源替代品包括: frappe/charts — This project is a client-side data visualization framework and SVG charting library used to render responsive,… highcharts/highcharts — Highcharts is a JavaScript charting library and interactive data visualization framework used to render complex… benpickles/peity — Peity is a lightweight SVG data visualization library that transforms numeric text content and HTML attributes into… britecharts/britecharts — Britecharts is an SVG data visualization toolkit and D3.js charting library. It functions as a composable… f5/unovis — Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network… rougier/scientific-visualization-book — This project is a scientific visualization guide and data visualization framework designed for creating high-quality…
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
Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network graphs. It provides a framework-agnostic set of primitives for creating data dashboards and specialized visualizations. The library is distinguished by its dedicated toolkits for different visualization domains, including an XY charting library for coordinated plots, a network graph framework for relational data, and a geospatial visualization toolkit for TopoJSON-based mapping. Its capability surface covers a wide range of data representations, including linear, area, and bar ch
Peity is a lightweight SVG data visualization library that transforms numeric text content and HTML attributes into small pie, donut, bar, and line charts. It functions as an attribute-driven renderer and a progressive enhancement tool, adding vector graphics to web pages by reading data directly from the DOM without requiring heavy JavaScript frameworks. The library supports custom drawing functions and dynamic color assignments, allowing for the registration of new chart types and the use of custom functions to determine segment colors. Its capability surface covers the rendering of mini d
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