pygmo

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

https://github.com/esa/pygmo2

Science Score: 59.0%

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 13 DOI reference(s) in README
  • Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • Committers with academic emails
    3 of 10 committers (30.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (18.3%) to scientific vocabulary

Keywords

artificial-intelligence evolutionary-algorithms evolutionary-computation evolutionary-strategy island-model meta-heuristic meta-heuristics multiobjective-optimization optimization optimization-algorithms optimization-methods optimization-problem parallel-computing parallel-processing stochastic-optimization
Last synced: 6 months ago · JSON representation

Repository

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Basic Info
Statistics
  • Stars: 494
  • Watchers: 10
  • Forks: 63
  • Open Issues: 46
  • Releases: 14
Topics
artificial-intelligence evolutionary-algorithms evolutionary-computation evolutionary-strategy island-model meta-heuristic meta-heuristics multiobjective-optimization optimization optimization-algorithms optimization-methods optimization-problem parallel-computing parallel-processing stochastic-optimization
Created about 6 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

pygmo

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Join the chat at https://gitter.im/pagmo2/Lobby

DOI DOI

pygmo is a scientific Python library for massively parallel optimization. It is built around the idea of providing a unified interface to optimization algorithms and to optimization problems and to make their deployment in massively parallel environments easy.

If you are using pygmo as part of your research, teaching, or other activities, we would be grateful if you could star the repository and/or cite our work. For citation purposes, you can use the following BibTex entry, which refers to the pygmo paper in the Journal of Open Source Software:

bibtex @article{Biscani2020, doi = {10.21105/joss.02338}, url = {https://doi.org/10.21105/joss.02338}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {53}, pages = {2338}, author = {Francesco Biscani and Dario Izzo}, title = {A parallel global multiobjective framework for optimization: pagmo}, journal = {Journal of Open Source Software} }

The DOI of the latest version of the software is available at this link.

The full documentation can be found here.

Upgrading from pygmo 1.x.x

If you were using the old pygmo, have a look here on some technical data on what and why a completely new API and code was developed: https://github.com/esa/pagmo2/wiki/From-1.x-to-2.x

You will find many tutorials in the documentation, we suggest to skim through them to realize the differences. The new pygmo (version 2) should be considered (and is) as an entirely different code.

Owner

  • Name: European Space Agency
  • Login: esa
  • Kind: organization
  • Location: Europe

The European Space Agency (ESA) is Europe’s gateway to space. Its mission is to shape the development of Europe’s space capability.

GitHub Events

Total
  • Issues event: 7
  • Watch event: 52
  • Issue comment event: 17
  • Pull request event: 1
  • Fork event: 5
Last Year
  • Issues event: 7
  • Watch event: 52
  • Issue comment event: 17
  • Pull request event: 1
  • Fork event: 5

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 532
  • Total Committers: 10
  • Avg Commits per committer: 53.2
  • Development Distribution Score (DDS): 0.455
Past Year
  • Commits: 3
  • Committers: 2
  • Avg Commits per committer: 1.5
  • Development Distribution Score (DDS): 0.333
Top Committers
Name Email Commits
Francesco Biscani b****i@g****m 290
Moritz v. Looz M****z@e****t 115
Dario Izzo d****o@g****m 100
Christopher L. Crutchfield c****f@u****u 9
Kirby Hermansen h****7@m****u 9
Kirby Hermansen k****1@g****m 5
Raf Baluyot b****f@o****m 1
Pedro L. Magalhães p****s@d****e 1
Nuno Carvalho n****o@g****m 1
Julian Ruddick j****9@h****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 90
  • Total pull requests: 47
  • Average time to close issues: 4 months
  • Average time to close pull requests: 2 months
  • Total issue authors: 71
  • Total pull request authors: 14
  • Average comments per issue: 2.99
  • Average comments per pull request: 2.96
  • Merged pull requests: 36
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 5
  • Pull requests: 1
  • Average time to close issues: 5 days
  • Average time to close pull requests: N/A
  • Issue authors: 5
  • Pull request authors: 1
  • Average comments per issue: 2.4
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • yurivict (5)
  • dalbabur (3)
  • IgSMS (3)
  • chuongask (2)
  • AlexH726 (2)
  • thisandthatuser (2)
  • israel-cj (2)
  • Tomalwo (2)
  • darioizzo (2)
  • optiluca (2)
  • MLopez-Ibanez (2)
  • Zcaic (2)
  • bluescarni (2)
  • xand-stapleton (2)
  • a-jp (2)
Pull Request Authors
  • bluescarni (22)
  • darioizzo (6)
  • kirbyherm (5)
  • thisandthatuser (4)
  • mlooz (4)
  • astrojuanlu (3)
  • baluyotraf (1)
  • dmikushin (1)
  • nunorc (1)
  • pmslavin (1)
  • rubenperezm (1)
  • johnnymck (1)
  • ccrutchf (1)
Top Labels
Issue Labels
bug (39) enhancement (23) help wanted (2) documentation (2)
Pull Request Labels

Packages

  • Total packages: 3
  • Total downloads:
    • pypi 10,819 last-month
  • Total docker downloads: 208
  • Total dependent packages: 20
    (may contain duplicates)
  • Total dependent repositories: 62
    (may contain duplicates)
  • Total versions: 63
  • Total maintainers: 1
pypi.org: pygmo

Parallel optimisation for Python

  • Versions: 25
  • Dependent Packages: 16
  • Dependent Repositories: 46
  • Downloads: 10,819 Last month
  • Docker Downloads: 208
Rankings
Dependent packages count: 0.7%
Dependent repos count: 2.2%
Docker downloads count: 2.4%
Average: 3.0%
Stargazers count: 3.4%
Downloads: 3.6%
Forks count: 5.7%
Maintainers (1)
Last synced: 6 months ago
proxy.golang.org: github.com/esa/pygmo2
  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 6.5%
Average: 6.7%
Dependent repos count: 6.9%
Last synced: 6 months ago
conda-forge.org: pygmo
  • Versions: 24
  • Dependent Packages: 4
  • Dependent Repositories: 16
Rankings
Dependent repos count: 8.9%
Dependent packages count: 12.5%
Average: 17.5%
Stargazers count: 22.2%
Forks count: 26.3%
Last synced: 6 months ago

Dependencies

.github/workflows/main.yml actions
  • JamesIves/github-pages-deploy-action v4 composite
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
  • microsoft/setup-msbuild v1.0.2 composite