social-balance
graphblas-algorithms
| social-balance | graphblas-algorithms | |
|---|---|---|
| 2 | 3 | |
| 3 | 64 | |
| - | - | |
| 0.0 | 5.7 | |
| about 3 years ago | about 2 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
social-balance
graphblas-algorithms
-
What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
And algorithms for the NetworkX backend graphblas-algorithms is here: https://github.com/python-graphblas/graphblas-algorithms
-
NetworkX 3.0
GraphBLAS is wrapped by https://github.com/python-graphblas/python-graphblas/ and the algorithms are available at https://github.com/python-graphblas/graphblas-algorithms. NetworkX only dispatches the computation for a subset of algorithms to graphblas-algorithms right now.
If you want the graphblas API in python, https://github.com/python-graphblas/python-graphblas/ is the right place :)
-
GraphBLAS
GraphBLAS is underrated and underused IMHO. If you use e.g. scipy.sparse, NetworkX, or similar, you should check out GraphBLAS. It is really fast even compared to scipy.sparse, and more capable in many ways.
They've actually started implementing the NetworkX API
https://github.com/python-graphblas/graphblas-algorithms
with python-graphblas
https://github.com/python-graphblas/python-graphblas
What are some alternatives?
pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
cugraph - cuGraph - RAPIDS Graph Analytics Library
netSALT - Simulation of lasing networks with quantum graphs and SALT theory.
NumPy - The fundamental package for scientific computing with Python.
SymPy - A computer algebra system written in pure Python
parallel-workers - run a work graph in parallel
SciPy - SciPy library main repository
devops-schedule - how do you order a tree of work correctly where there are dependencies between works
NetworkX - Network Analysis in Python