add PyGraphistry

via
https://scicomp.stackexchange.com/questions/3315/visualizing-very-large-
link-graphs
This commit is contained in:
François Briatte 2016-09-19 19:42:36 +02:00
parent e86859e09f
commit 08de5e88f7

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@ -559,6 +559,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [networkx](http://networkx.github.io/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
- [Implementing an ERGM from Scratch in Python](http://davidmasad.com/blog/ergms-from-scratch/), using networkx and numpy (2014).
- [npartite](https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.
- [PyGraphistry](https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs.
- [python-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package.
- [python-louvain](http://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.
- [TQ (Temporal Quantities)](http://vladowiki.fmf.uni-lj.si/doku.php?id=tq) - Python 3 library for temporal network analysis.