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@ -670,6 +670,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
- [nngt](https://nngt.readthedocs.io) - Library-agnostic graph generation and analysis that wraps around `networkx`, `igraph` and `graph-tool`). Includes normalized graph measures, advanced visualizations, (geo)spatial tools, and interfaces for neuroscience simulators. - [nngt](https://nngt.readthedocs.io) - Library-agnostic graph generation and analysis that wraps around `networkx`, `igraph` and `graph-tool`). Includes normalized graph measures, advanced visualizations, (geo)spatial tools, and interfaces for neuroscience simulators.
- [npartite](https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks. - [npartite](https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.
- [parag](https://github.com/rraadd88/parag) - Interactive visualization of higher-order graphs in Python. - [parag](https://github.com/rraadd88/parag) - Interactive visualization of higher-order graphs in Python.
- [pathpy](https://www.pathpy.net/) - Analysis of time series data on networks using higher-order and multi-order graphical models.
- [PyGraphistry](https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs. - [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-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package.
- [python-louvain](https://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm. - [python-louvain](https://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.