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PANINIpy

PANINIpy: Package of Algorithms for Nonparametric Inference with Networks In Python - Published in JOSS (2024)

https://github.com/baiyueh/paninipy

Science Score: 93.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

archived moved

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

Repository

[MOVED] → github.com/HKU-Complex-Networks-Lab/PANINIpy

Basic Info
Statistics
  • Stars: 10
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Archived
Topics
archived moved
Created over 1 year ago · Last pushed 7 months ago
Metadata Files
Readme License

README.md

PANINIpy Has Moved!

## **This repository has moved to the HKU Complex Networks Lab** ### **[github.com/HKU-Complex-Networks-Lab/PANINIpy](https://github.com/HKU-Complex-Networks-Lab/PANINIpy)** ---

Quick Links

| Resource | New Location | |----------|-------------| | Main Repository | HKU-Complex-Networks-Lab/PANINIpy | | Documentation | paninipy.readthedocs.io | | Issues & Support | Report Issues Here | | PyPI Package | pypi.org/project/paninipy |

Quick Start

bash pip install paninipy

About PANINIpy

Package of Algorithms for Nonparametric Inference with Networks in Python

PANINIpy is now officially maintained under the HKU Complex Networks Lab. All active development, issues, and contributions should be directed to the new repository.

What You Need to Do

  • Clone the new repository: git clone https://github.com/HKU-Complex-Networks-Lab/PANINIpy.git
  • Update your bookmarks to point to the new repository
  • Report issues in the new repository's issue tracker
  • Star the new repository if you found PANINIpy useful!
**This repository is archived for historical reference** *All future development happens at [HKU-Complex-Networks-Lab/PANINIpy](https://github.com/HKU-Complex-Networks-Lab/PANINIpy)*

Owner

  • Login: baiyueh
  • Kind: user

JOSS Publication

PANINIpy: Package of Algorithms for Nonparametric Inference with Networks In Python
Published
November 14, 2024
DOI
Volume 9, Issue 103, Page 7312
Authors
Alec Kirkley ORCID
Institute of Data Science, University of Hong Kong, Hong Kong, Department of Urban Planning and Design, University of Hong Kong, Hong Kong, Urban Systems Institute, University of Hong Kong, Hong Kong
Baiyue He ORCID
Institute of Data Science, University of Hong Kong, Hong Kong
Editor
Vissarion Fisikopoulos ORCID
Tags
complex networks nonparametric inference minimum description length unsupervised learning
View PDF Review Thread Software Archive

GitHub Events

Total
  • Create event: 2
  • Release event: 3
  • Issues event: 11
  • Watch event: 8
  • Delete event: 1
  • Issue comment event: 14
  • Push event: 55
  • Pull request event: 2
Last Year
  • Create event: 2
  • Release event: 3
  • Issues event: 11
  • Watch event: 8
  • Delete event: 1
  • Issue comment event: 14
  • Push event: 55
  • Pull request event: 2

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 159
  • Total Committers: 2
  • Avg Commits per committer: 79.5
  • Development Distribution Score (DDS): 0.277
Past Year
  • Commits: 129
  • Committers: 2
  • Avg Commits per committer: 64.5
  • Development Distribution Score (DDS): 0.225
Top Committers
Name Email Commits
Baiyue b****e@c****k 115
Alec Kirkley a****y@g****m 44
Committer Domains (Top 20 + Academic)
connect.ust.hk: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 5
  • Total pull requests: 2
  • Average time to close issues: 5 days
  • Average time to close pull requests: 3 minutes
  • Total issue authors: 3
  • Total pull request authors: 1
  • Average comments per issue: 2.8
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 5
  • Pull requests: 2
  • Average time to close issues: 5 days
  • Average time to close pull requests: 3 minutes
  • Issue authors: 3
  • Pull request authors: 1
  • Average comments per issue: 2.8
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • gchure (3)
  • elenacandellone (1)
  • vissarion (1)
Pull Request Authors
  • baiyueh (4)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

setup.py pypi
paninipy.egg-info/requires.txt pypi
  • numpy >=1.24
  • pandas >=2.2
  • ray >=2.40.0
  • scipy >=1.10
requirements.txt pypi
  • numpy >=1.24
  • pandas >=2.2
  • ray >=2.40.0
  • scipy >=1.10