Overview of 5 options when it comes to statistical data visualisation in Python:

- matplotlib
- pandas
- seaborn
- ggplot
- altair

Matlab Tools for Network Analysis (2006-2011)

This toolbox was first written in 2006. The last version, posted here, is from November 2011. These routines are useful for someone who wants to start hands-on work with networks fairly quickly, explore simple graph statistics, distributions, simple visualization and compute common network theory metrics. The code is not object-oriented, and should be easy to use, read and improve upon. There is some overlap with the grTheory toolbox and the MatlabBGL library published on Matlab Central. Different authorship is indicated in the header. No code is perfect so please contact gergana at alum dot mit.edu if you notice errors or have pointers to better routines.

This code is published under the BSD license. The license text is also available at the end of this page.