Displaying 1 to 4 from 4 results

plotly.py - An interactive, browser-based graphing library for Python :sparkles:

  •    Python

Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online on plot.ly.

yakojs - A tiny DOM-less graph library

  •    Javascript

A tiny DOM-less graph library, build for fast front end and server side rendering in CommonJs pattern. This library is intend to generate light weight and simple SVG graphs, and is more performable compare to highcharts / flot / c3 / d3 when front end matters. gulp build This will build the lib directory, by converting src directory from es6 to es5.

Erdos.jl - A graph library for Julia.

  •    Julia

Erdos defines some types associated to graph mathematical structures and implements a huge number of algorithms to work with them. Moreover edge and vertex properties can be internally stored in some of the graph types (we call them networks) and read/written in most common graph formats. Custom graphs and networks can be defined inheriting from Erdos' abstract types. Take a look at the companion package ErdosExtras for additional algorithms.

rgl - RGL is a framework for graph data structures and algorithms in Ruby.

  •    Ruby

RGL is a framework for graph data structures and algorithms. The design of the library is much influenced by the Boost Graph Library (BGL) which is written in C++. Refer to http://www.boost.org/libs/graph/doc for further links and documentation on graph data structures and algorithms and the design rationales of BGL.