Data

Tools

Indexes

Applications

Experiments

Open Source Science

graspologic

Python package for graph statistics

https://github.com/graspologic-org/graspologic

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    6 of 63 committers (9.5%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (16.3%) to scientific vocabulary

Keywords

data-science graph graph-statistics machine-learning networks python

Keywords from Contributors

transfer-learning random-forests domain-adaptation deep-neural-networks decision-trees continual-learning closember gtk qt tk
Last synced: 6 months ago · JSON representation ·

Repository

Python package for graph statistics

Basic Info
Statistics
  • Stars: 934
  • Watchers: 18
  • Forks: 161
  • Open Issues: 72
  • Releases: 17
Topics
data-science graph graph-statistics machine-learning networks python
Created over 7 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Citation Codeowners Security

README.md

graspologic

Paper shield PyPI version Downloads shield graspologic Build License: MIT

graspologic is a package for graph statistical algorithms.

Overview

A graph, or network, provides a mathematically intuitive representation of data with some sort of relationship between items. For example, a social network can be represented as a graph by considering all participants in the social network as nodes, with connections representing whether each pair of individuals in the network are friends with one another. Naively, one might apply traditional statistical techniques to a graph, which neglects the spatial arrangement of nodes within the network and is not utilizing all of the information present in the graph. In this package, we provide utilities and algorithms designed for the processing and analysis of graphs with specialized graph statistical algorithms.

Documentation

The official documentation with usage is at https://graspologic-org.github.io/graspologic/latest

Please visit the tutorial section in the official website for more in depth usage.

System Requirements

Hardware requirements

graspologic package requires only a standard computer with enough RAM to support the in-memory operations.

Software requirements

OS Requirements

graspologic is tested on the following OSes: - Linux x64 - macOS x64 - Windows 10 x64

And across the following x86_64 versions of Python: - 3.9 - 3.10 - 3.11 - 3.12

If you try to use graspologic for a different platform than the ones listed and notice any unexpected behavior, please feel free to raise an issue. It's better for ourselves and our users if we have concrete examples of things not working!

Installation Guide

Install from pip

pip install graspologic

Install from Github

git clone https://github.com/graspologic-org/graspologic cd graspologic python3 -m venv venv source venv/bin/activate pip install .

Contributing

We welcome contributions from anyone. Please see our contribution guidelines before making a pull request. Our issues page is full of places we could use help! If you have an idea for an improvement not listed there, please make an issue first so you can discuss with the developers.

License

This project is covered under the MIT License.

Issues

We appreciate detailed bug reports and feature requests (though we appreciate pull requests even more!). Please visit our issues page if you have questions or ideas.

Citing graspologic

If you find graspologic useful in your work, please cite the package via the GraSPy paper

Chung, J., Pedigo, B. D., Bridgeford, E. W., Varjavand, B. K., Helm, H. S., & Vogelstein, J. T. (2019). GraSPy: Graph Statistics in Python. Journal of Machine Learning Research, 20(158), 1-7.

Owner

  • Name: graspologic-org
  • Login: graspologic-org
  • Kind: organization

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you find graspologic useful in your work, please cite the package via the GraSPy paper"  
authors:
  - family-names: "Chung"
    given-names: "Jaewon"
  - family-names: "Pedigo"
    given-names: "Benjamin D."
  - family-names: "Bridgeford"
    given-names: "Eric W."
  - family-names: "Varjavand"
    given-names: "Bijan K."
  - family-names: "Helm"
    given-names: "Hayden S."
  - family-names: "Vogelstein"
    given-names: "Joshua T."
title: "GraSPy: Graph Statistics in Python"
version: 3.0.0
url: "https://github.com/graspologic-org/graspologic"
preferred-citation:
  type: software
  issue: 158
  volume: 20
  journal: "Journal of Machine Learning Research"
  authors:
  - family-names: "Chung"
    given-names: "Jaewon"
  - family-names: "Pedigo"
    given-names: "Benjamin D."
  - family-names: "Bridgeford"
    given-names: "Eric W."
  - family-names: "Varjavand"
    given-names: "Bijan K."
  - family-names: "Helm"
    given-names: "Hayden S."
  - family-names: "Vogelstein"
    given-names: "Joshua T."
  start: 1
  end: 7
  year: 2019

GitHub Events

Total
  • Create event: 1
  • Release event: 1
  • Issues event: 2
  • Watch event: 131
  • Issue comment event: 21
  • Push event: 5
  • Pull request review event: 3
  • Pull request event: 10
  • Fork event: 16
Last Year
  • Create event: 1
  • Release event: 1
  • Issues event: 2
  • Watch event: 131
  • Issue comment event: 21
  • Push event: 5
  • Pull request review event: 3
  • Pull request event: 10
  • Fork event: 16

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 799
  • Total Committers: 63
  • Avg Commits per committer: 12.683
  • Development Distribution Score (DDS): 0.771
Past Year
  • Commits: 21
  • Committers: 5
  • Avg Commits per committer: 4.2
  • Development Distribution Score (DDS): 0.476
Top Committers
Name Email Commits
Benjamin Pedigo b****o@g****m 183
j1c j****8@g****m 176
Dwayne Pryce d****e@m****m 94
Dax Pryce d****e@m****m 65
Eric Bridgeford e****2@j****u 41
Ali Saad-Eldin 5****1 28
Alex Loftus a****4@g****m 20
Chris Trevino d****o 11
kareef928 5****8 11
allcontributors[bot] 4****] 10
Paul Adkisson p****n@g****m 10
Jon McLean 4****n 9
Pratyush Raj p****s@g****m 9
Nick n****k@c****m 8
tliu68 5****8 8
Bryan Tower b****r@m****m 6
Daniel Borders 3****s 5
Patrick Bourke p****e@m****m 5
Ze Ou 3****1 5
alyakin314 a****4@g****m 5
Bijan Varjavand b****d@g****m 5
spencer-loggia 3****a 4
jheiko1 3****1 4
dlee0156 4****6 4
dfrancisco1998 4****8 4
PerifanosPrometheus 6****s 4
Jingyan230 6****0 4
Haoyin Xu h****u@g****m 4
Audrey Herskovits 1****o 4
Vivek Gopalakrishnan v****4@j****u 4
and 33 more...
Committer Domains (Top 20 + Academic)
microsoft.com: 4 jhu.edu: 2 cornell.edu: 1 jhmi.edu: 1 mit.edu: 1 foo.be: 1 cam.ac.uk: 1 dwayne.pryce.io: 1 caurvina.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 119
  • Total pull requests: 95
  • Average time to close issues: over 1 year
  • Average time to close pull requests: 4 months
  • Total issue authors: 20
  • Total pull request authors: 24
  • Average comments per issue: 3.54
  • Average comments per pull request: 1.43
  • Merged pull requests: 48
  • Bot issues: 0
  • Bot pull requests: 6
Past Year
  • Issues: 3
  • Pull requests: 14
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 months
  • Issue authors: 3
  • Pull request authors: 6
  • Average comments per issue: 2.33
  • Average comments per pull request: 0.86
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • bdpedigo (42)
  • j1c (19)
  • ebridge2 (18)
  • jovo (10)
  • daxpryce (6)
  • eigenvivek (4)
  • loftusa (4)
  • bvarjavand (3)
  • alyakin314 (2)
  • dtborders (1)
  • anibalsolon (1)
  • tliu68 (1)
  • darthtrevino (1)
  • dmannan (1)
  • kareef928 (1)
Pull Request Authors
  • j1c (22)
  • darthtrevino (21)
  • bdpedigo (17)
  • dependabot[bot] (12)
  • gupta3a6 (5)
  • bvarjavand (5)
  • AlonsoGuevara (4)
  • bokveizen (4)
  • ebridge2 (4)
  • knguyen2000 (2)
  • loftusa (2)
  • daxpryce (2)
  • shengjian-tech (2)
  • yuzhichang (2)
  • nightosong (2)
Top Labels
Issue Labels
enhancement (36) docs (9) bug (8) ndd (7) profiling/testing (6) pkg (5) question (5) not planned by core (4) summer_students? (3) experimental (3) low priority (3) help wanted (2) important (2) upstream (2) discussion (2) merger (1) graduate_student (1) small (1)
Pull Request Labels
dependencies (12)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 126,518 last-month
  • Total docker downloads: 68
  • Total dependent packages: 2
  • Total dependent repositories: 8
  • Total versions: 233
  • Total maintainers: 2
pypi.org: graspologic

A set of Python modules for graph statistics

  • Versions: 233
  • Dependent Packages: 2
  • Dependent Repositories: 8
  • Downloads: 126,518 Last month
  • Docker Downloads: 68
Rankings
Docker downloads count: 3.0%
Stargazers count: 3.5%
Average: 4.3%
Forks count: 4.3%
Dependent packages count: 4.8%
Dependent repos count: 5.2%
Downloads: 5.2%
Maintainers (2)
microsoft dwpryce
Last synced: 6 months ago

Dependencies

.github/workflows/build.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v2 composite
  • github/codeql-action/analyze v1 composite
  • github/codeql-action/init v1 composite
.github/workflows/publish.yml actions
  • actions/checkout v2 composite
  • actions/download-artifact v2 composite
  • actions/setup-python v2 composite
  • ncipollo/release-action v1 composite
  • peaceiris/actions-gh-pages v3 composite
.github/workflows/report.yml actions
pyproject.toml pypi
requirements.txt pypi
setup.py pypi