Show HN: PyGraphina – A Graph Library for Python
2 comments
Could you contrast this project with https://github.com/Qiskit/rustworkx?
`rustworkx` is older and much more mature than PyGraphina. So at the moment, it includes a larger collection of graph algorithms. But the goal is to keep PyGraphina focused on specific applications like community detection and link prediction with a high-level API like NetworkX.
I've made an early version of a new graph data science and analytics library for Python named PyGraphina. It's written in Rust and at the moment includes implementations for a large collection of popular graph algorithms, including:
- Centrality metrics: PageRank, betweenness centrality, etc.
- Community detection algorithms like connected components, Louvain, etc.
- Heuristics for hard graph algorithms, such as Max clique finding.
- Link prediction algorithms like Jaccard coefficients, Adamic-Adar index, etc.
The aim of the project is to make PyGraphina as feature-rich as NetworkX, with the performance benefits of Rust.
Project's GitHub repo: https://github.com/habedi/graphina/tree/main/pygraphina
PyGraphina's documentation: https://habedi.github.io/graphina/python