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Scalable Vector Graphics (SVG) is an XML -based vector image format for defining two-dimensional graphics, having support for interactivity and animation. The SVG specification is an open standard developed by the World Wide Web Consortium since 1999. SVG images are defined in a vector graphics format and stored in XML text files.
Wikipedia:SVG help. Scalable Vector Graphics is a commonly used file format for providing a geometrical description of an image using basic objects such as labels, circles, lines, curves and polygons. An image can be reduced or enlarged to an arbitrary size, and will not suffer image data loss, nor will it become pixelated.
Website. d3js.org. D3.js (also known as D3, short for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. It makes use of Scalable Vector Graphics (SVG), HTML5, and Cascading Style Sheets (CSS) standards. It is the successor to the earlier Protovis framework. [2]
SVG-edit is a cross-browser web-based, JavaScript -driven web tool, and has also been made into browser addons, such as an addon for Firefox, a Chrome extension, and a standalone widget for Opera. [1] There's also an experimental SVG editing extension on MediaWiki that uses SVG-edit. [2]
Boxy SVG is a chromium -based vector graphics editor for creating illustrations, as well as logos, icons, and other elements of graphic design. It is primarily focused on editing drawings in the SVG file format. The program is available as both a web app and a desktop application for Windows, macOS, ChromeOS, and Linux-based operating systems.
Batik is a pure- Java library that can be used to render, generate, and manipulate SVG graphics. IBM supported the project and then donated the code to the Apache Software Foundation, where other companies and teams decided to join efforts. Batik provides a set of core modules that provide functionality to: Render and dynamically modify SVG ...
Use a program like Inkscape (free), Gimp (free) or Adobe Illustrator (not free) to read the SVG file and export to PNG. Use a website like cloudconvert.com (free) to upload the SVG file, convert, and download the raster file. In your browser, "print" the SVG image to PDF, and use a program (like Preview on a Mac) to export from PDF to PNG.
With an additional (free) package, it's also possible to generate SVG-graphs with R directly. See an example with code on Image:Circle area Monte Carlo integration2.svg. Other packages (lattice, ggplot2) provide alternative graphics facilities or syntax. Here is another example with data.