everystreet VS python-graphblas

Compare everystreet vs python-graphblas and see what are their differences.

everystreet

An algorithm finding #everystreet route on Open Street Map (OSMnx) (by matejker)
graph-theory graph-algorithms Algorithm Openstreetmap Running
Source Code
everystreetchallenge.com
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python-graphblas

Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics (by python-graphblas)
graphblas suitesparse Python python-wrapper numba graph-algorithms graph-theory complex-networks graph-analysis Linear Algebra pydata graph-datastructures Sparse sparse-data sparse-matrix
Source Code
python-graphblas.readthedocs.io
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everystreet python-graphblas
2 4
91 113
- 2.7%
10.0 7.7
about 1 year ago about 1 month ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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everystreet

Posts with mentions or reviews of everystreet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-01.

python-graphblas

Posts with mentions or reviews of python-graphblas. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-17.
  • What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
    5 projects | /r/Python | 17 Apr 2023
    Core Python library python-graphblas is here: https://github.com/python-graphblas/python-graphblas
  • NetworkX 3.0
    8 projects | news.ycombinator.com | 10 Jan 2023
    Great talk!

    This slide shows some speedups when using the GraphBLAS [1] backend [2]:

    https://i.postimg.cc/mr3mkKtx/100x-Faster-Network-X.png

    [1] https://github.com/python-graphblas/python-graphblas

  • GraphBLAS
    3 projects | news.ycombinator.com | 14 Sep 2022
    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?

When comparing everystreet and python-graphblas you can also consider the following projects:

landuse_without_buildings - OpenStreetMap: Find residential areas with too few buildings in them

cugraph - cuGraph - RAPIDS Graph Analytics Library

CyRK - Runge-Kutta ODE Integrator Implemented in Cython and Numba

egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation

everystreet vs landuse_without_buildings python-graphblas vs cugraph python-graphblas vs CyRK python-graphblas vs egsis