APGL 0.8.1

A Python graph library based on numpy and scipy with some machine learning features
It can create and modify user defined and/or random generated graphs, find shortest paths, and can write graphs to Pajek files for visualization.

Main features:

  • Write to Pajek, and simple CSV files
  • Some machine learning features - date preprocessing, kernels, wrappers for LibSVM, and some mlpy learning algorithms
  • Unit tested using the Python unittest framework
  • Directed, undirected and multigraphs designed under a hierarchical class structure
  • Sparse and Dense graph structures using numpy and scipy for fast linear algebra computations
  • Many operations on graphs such as subgraphs, search, Floyd-Warshall, Dijkstras algorithm
  • Erdos-Renyi, Small-World and Albert-Barabasi random graphs

last updated on:
August 22nd, 2014, 2:28 GMT
price:
FREE!
developed by:
Charanpal Dhanjal
license type:
LGPL
operating system(s):
Windows / Linux / Mac OS / BSD / Solaris
category:
C: \ Graphs and Charts

FREE!

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