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Moran Pycess

Moran Pycess: a Python package to simulate Moran processes driven by game theory - Published in JOSS (2020)

https://github.com/angrymaciek/angry-moran-simulator

Science Score: 98.0%

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
    Found 4 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: joss.theoj.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

evolutionary-game-theory moran-process population-genetics python python-package

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 4 months ago · JSON representation ·

Repository

A general game-theoretical framework to carry out scientific simulations of populations' evolution according to the Moran model 🧮

Basic Info
Statistics
  • Stars: 6
  • Watchers: 1
  • Forks: 5
  • Open Issues: 0
  • Releases: 1
Topics
evolutionary-game-theory moran-process population-genetics python python-package
Created over 5 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Contributing License Code of conduct Citation Codeowners

README.md

Contribute with Gitpod pre-commit build pytest codecov flake8 Code style: black CodeFactor publish PyPI conda DockerHub Binder GitHub issues Contributor Covenant GitHub license DOI

Moran [Py]cess

scheme.svg

General information

The following Python package presents a general game-theoretical framework to carry out scientific simulations according to the Moran model. Registering distinct types of individuals together with specification of payoffs between them allows to replicate evolution of the population and observe growth dynamics.

For more information please visit the project's homepage.

Owner

  • Name: Maciek Bąk
  • Login: AngryMaciek
  • Kind: user
  • Location: London, UK
  • Company: City, University of London

PhD in Computational Biology

JOSS Publication

Moran Pycess: a Python package to simulate Moran processes driven by game theory
Published
October 26, 2020
DOI
Volume 5, Issue 54, Page 2643
Authors
Maciej Bak ORCID
Biozentrum, University of Basel, Swiss Institute of Bioinformatics
Anna M. Rozlach ORCID
Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University
Editor
Mark A. Jensen ORCID
Tags
Moran Process evolutionary stable strategy evolutionary game theory
View PDF Review Thread Software Archive

Citation (CITATION.cff) 

cff-version: "1.2.0"
authors:
- family-names: Bak
  given-names: Maciek
  orcid: "https://orcid.org/0000-0003-1361-7301"
- family-names: Rozlach
  given-names: Anna M.
  orcid: "https://orcid.org/0000-0002-5195-4299"
doi: 10.5281/zenodo.4114143
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: Bak
    given-names: Maciek
    orcid: "https://orcid.org/0000-0003-1361-7301"
  - family-names: Rozlach
    given-names: Anna M.
    orcid: "https://orcid.org/0000-0002-5195-4299"
  date-published: 2020-10-26
  doi: 10.21105/joss.02643
  issn: 2475-9066
  issue: 54
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 2643
  title: "Moran Pycess: a Python package to simulate Moran processes
    driven by game theory"
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.02643"
  volume: 5
title: "Moran Pycess: a Python package to simulate Moran processes
  driven by game theory"

GitHub Events

Total
Last Year

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 393
  • Total Committers: 3
  • Avg Commits per committer: 131.0
  • Development Distribution Score (DDS): 0.155
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Maciej Bak w****k@g****m 332
rozmanowna r****a@g****m 59
Mark A. Jensen m****t@f****s 2
Committer Domains (Top 20 + Academic)
fortinbras.us: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 19
  • Total pull requests: 14
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 14 hours
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 2.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 14
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • AngryMaciek (14)
  • tkchafin (3)
  • xin-huang (2)
Pull Request Authors
  • AngryMaciek (14)
  • majensen (1)
Top Labels
Issue Labels
enhancement (7) documentation (2) question (2) bug (1)
Pull Request Labels
enhancement (8) invalid (2) documentation (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 13 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 2
  • Total maintainers: 1
pypi.org: moranpycess

Python framework for Moran Processes driven by game theory

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 13 Last month
Rankings
Dependent packages count: 10.1%
Dependent repos count: 21.6%
Average: 32.2%
Downloads: 65.0%
Maintainers (1)
AngryMaciek
Last synced: 4 months ago

Dependencies

docs/requirements.txt pypi
  • recommonmark ==0.7.1
  • sphinx-rtd-theme ==0.5.2
Dockerfile docker
  • python 3.7.4-slim build
pyproject.toml pypi
  • matplotlib >=3.3.4
  • numpy >=1.19.5
  • pandas >=1.1.5
  • scipy >=1.5.3
  • seaborn >=0.11.2
setup.py pypi