NetworkX is a very popular Python library, that handles various use-cases of the Graph Data Structure. This project intends to provide a working alternative to the Ruby community, by closely mimicing as many features as possible.
This project has begun just now, and a v0.1.0 release with basic Graph classes can be expected by January 2018.
List of contents
- Clone the repository with
git clone [email protected]:athityakumar/networkx.rb.git
- Navigate to networkx with
- Install dependencies with
gem install bundler && bundle install
- Install networkx gem with
- Start checking out in PRY / IRB console :
require 'networkx' #=> true # Yet to be implemented g = ::Graph.new() g.add_edge('start', 'stop')
Quite easily, any networkx user would be able to understand the number of details that have been implemented in the Python library. As a humble start towards the release of v0.1.0, the following could be the goals to achieve :
Node: This class should be capable of handling different types of nodes (not just
Integer). A possible complex use-case could be XML nodes.
Edge: This class should be capable of handling different types of edges. Though a basic undirected Graph doesn't store any metadata in the edges, weighted edges and parametric edges are something that need to be handled.
Graph: The simplest of graphs. This class handles just connections between different
DirectedGraph: Inherits from
Graphclass. Uses directions between
After months of extensive searching, we realised there was not a single repository that could guide a newbie to machine learning and natural language processing in Ruby. Thus, after a series of naming discussions,
sciruby-examples was born.
Your contributions are always welcome! Please have a look at the contribution guidelines first. :tada: