Melodie

Melodie: Agent-based Modeling in Python - Published in JOSS (2023)

https://github.com/abm4all/melodie

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 6 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

Scientific Fields

Sociology Social Sciences - 87% confidence
Computer Science Computer Science - 44% confidence
Last synced: 4 months ago · JSON representation ·

Repository

A general framework for developing agent-based models in Python.

Basic Info
  • Host: GitHub
  • Owner: ABM4ALL
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 78.7 MB
Statistics
  • Stars: 40
  • Watchers: 1
  • Forks: 9
  • Open Issues: 3
  • Releases: 0
Created over 4 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Funding License Citation

README.md

Melodie: Agent-based Modeling in Python

Tests DOI

Melodie is a framework for developing agent-based models (ABMs) in Python. The package and its examples are maintained on ABM4ALL. For introduction and tutorial of the package, please visit our documentation page.

The package name Melodie comes from an example which poetically explains the core concept of complexity theory: Emergence. In his bold book Emergent Evolution, C. Lloyd Morgan wrote: The emergent step, though it may seem more or less saltatory [a leap], is best regarded as a qualitative change of direction, or critical turning-point, in the course of events. Then, Morgan exemplified how melody emerges from chords by quoting Abt Vogler of Robert Browning:

"And I know not if,

save in this,

such gift be allowed to man,

That out of three sounds he frame,

not a fourth sound,

but a star."

Sitting in Karlsruhe, a lovely city in southern Germany, I take the German translation - Melodie - as the name of this package.

Karlsruhe

Suggested citation:

Yu, S.; Hou, Z.; (2023). Melodie: Agent-based Modeling in Python. Journal of Open Source Software, 8(83), 5100, https://doi.org/10.21105/joss.05100

Owner

  • Name: ABM4ALL
  • Login: ABM4ALL
  • Kind: organization
  • Email: abm4all@outlook.com
  • Location: Germany

JOSS Publication

Melodie: Agent-based Modeling in Python
Published
March 26, 2023
Volume 8, Issue 83, Page 5100
Authors
Songmin Yu ORCID
Fraunhofer Institute for Systems and Innovation Research, Germany
Zhanyi Hou ORCID
School of Reliability and Systems Engineering, Beihang University, China
Editor
Mehmet Hakan Satman ORCID
Tags
agent-based modeling complex system automatic calibration evolutionary training

Citation (citation.bib)

@article{
    Melodie2023, 
    doi = {10.21105/joss.05100}, 
    url = {https://doi.org/10.21105/joss.05100}, 
    year = {2023}, 
    publisher = {The Open Journal}, 
    volume = {8}, 
    number = {83}, 
    pages = {5100}, 
    author = {Songmin Yu and Zhanyi Hou}, 
    title = {Melodie: Agent-based Modeling in Python}, 
    journal = {Journal of Open Source Software} 
}

GitHub Events

Total
  • Watch event: 8
  • Fork event: 1
Last Year
  • Watch event: 8
  • Fork event: 1

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 614
  • Total Committers: 4
  • Avg Commits per committer: 153.5
  • Development Distribution Score (DDS): 0.391
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
hzy15610046011 1****6@q****m 374
Songmin y****s@g****m 186
Yu s****u@i****e 51
hzy15610046011 3****1 3
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 21
  • Total pull requests: 6
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 4
  • Total pull request authors: 3
  • Average comments per issue: 2.43
  • Average comments per pull request: 0.0
  • Merged pull requests: 6
  • 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
Top Authors
Issue Authors
  • rusu24edward (13)
  • SongminYu (4)
  • hzyrc6011 (2)
  • JoelForamitti (2)
Pull Request Authors
  • jbytecode (3)
  • hzyrc6011 (2)
  • danielskatz (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 62 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 7
  • Total maintainers: 2
pypi.org: melodie

A general framework that can be used to establish agent-based models for specific uses.

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 62 Last month
Rankings
Dependent packages count: 6.6%
Average: 18.6%
Dependent repos count: 30.6%
Maintainers (2)
Last synced: 4 months ago

Dependencies

.github/workflows/wheels.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v2 composite
requirements.txt pypi
  • astunparse *
  • chardet *
  • cloudpickle *
  • cython *
  • flask *
  • flask-cors *
  • matplotlib *
  • networkx *
  • numpy >=1.20
  • openpyxl *
  • pandas *
  • pprintast *
  • pytest *
  • rpyc *
  • scikit-opt *
  • seaborn *
  • setuptools *
  • sphinx *
  • sqlalchemy *
  • termcolor *
  • websockets *
  • xlrd ==1.2.0
setup.py pypi
  • astunparse *
  • chardet *
  • cloudpickle *
  • cython ==3.0.0a10
  • matplotlib *
  • networkx *
  • numpy *
  • openpyxl *
  • pandas *
  • pprintast *
  • rpyc *
  • scikit-opt *
  • seaborn *
  • sqlalchemy *
  • websockets *
.github/workflows/build_wheels_custom.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v2 composite
pyproject.toml pypi
.github/workflows/test.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • zcong1993/setup-timezone master composite
environment.yaml conda