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Attractors

Find attractors (and their basins) of dynamical systems. Perform global continuation. Study nonlocal stability (or resilience). Also tipping points functionality.

https://github.com/juliadynamics/attractors.jl

Science Score: 57.0%

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 3 DOI reference(s) in README
  • ○
    Academic publication links
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.0%) to scientific vocabulary

Keywords

attractors basins-of-attraction continuation hacktoberfest nonlinear tipping-points
Last synced: 6 months ago · JSON representation ·

Repository

Find attractors (and their basins) of dynamical systems. Perform global continuation. Study nonlocal stability (or resilience). Also tipping points functionality.

Basic Info
  • Host: GitHub
  • Owner: JuliaDynamics
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Homepage:
  • Size: 296 MB
Statistics
  • Stars: 43
  • Watchers: 4
  • Forks: 7
  • Open Issues: 30
  • Releases: 84
Topics
attractors basins-of-attraction continuation hacktoberfest nonlinear tipping-points
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog License Citation

README.md

Attractors.jl

docsdev docsstable Paper CI codecov Package Downloads

Attractors.jl is a Julia package for

  • Finding all attractors, and all types of attractors, of arbitrary dynamical systems. An extendable interface allows for new algorithms for finding attractors.
  • Finding their basins of attraction or the state space fractions of the basins. This includes finding exit basins (divergence to infinity).
  • Analyzing nonlocal stability of attractors (also called global stability or resilience).
  • Performing global continuation of attractors and their basins (or other measures of stability), over a parameter range. Global continuation is a new, cutting-edge type of continuation that offers several advantages over traditional local continuation (AUTO, MatCont, BifurcationKit.jl, etc.), see the comparison in our docs.
  • Finding the basin boundaries and edges states and analyzing their fractal properties.
  • Tipping points related functionality for systems with known dynamic rule.
  • And more!

It can be used as a standalone package, or as part of DynamicalSystems.jl.

To install it, run import Pkg; Pkg.add("Attractors").

All further information is provided in the documentation, which you can either find online or build locally by running the docs/make.jl file.

Previously, Attractors.jl was part of ChaosTools.jl

Owner

  • Name: JuliaDynamics
  • Login: JuliaDynamics
  • Kind: organization

A Julia-based software organization for dynamical systems, nonlinear dynamics, complex systems and the complexities of the scientific life

Citation (CITATION.bib) 

@article{Attractors.jl,
  doi = {10.1063/5.0159675},
  url = {https://doi.org/10.1063/5.0159675},
  year = {2023},
  month = jul,
  publisher = {{AIP} Publishing},
  volume = {33},
  number = {7},
  author = {George Datseris and Kalel Luiz Rossi and Alexandre Wagemakers},
  title = {Framework for global stability analysis of dynamical systems},
  journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science}
}

GitHub Events

Total
  • Create event: 30
  • Issues event: 6
  • Release event: 14
  • Watch event: 12
  • Delete event: 16
  • Issue comment event: 96
  • Push event: 248
  • Pull request review comment event: 58
  • Pull request review event: 55
  • Pull request event: 33
  • Fork event: 2
Last Year
  • Create event: 30
  • Issues event: 6
  • Release event: 14
  • Watch event: 12
  • Delete event: 16
  • Issue comment event: 96
  • Push event: 248
  • Pull request review comment event: 58
  • Pull request review event: 55
  • Pull request event: 33
  • Fork event: 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 53
  • Total pull requests: 141
  • Average time to close issues: 3 months
  • Average time to close pull requests: 24 days
  • Total issue authors: 11
  • Total pull request authors: 9
  • Average comments per issue: 5.64
  • Average comments per pull request: 3.28
  • Merged pull requests: 113
  • Bot issues: 0
  • Bot pull requests: 9
Past Year
  • Issues: 7
  • Pull requests: 43
  • Average time to close issues: 5 days
  • Average time to close pull requests: 12 days
  • Issue authors: 5
  • Pull request authors: 5
  • Average comments per issue: 2.14
  • Average comments per pull request: 2.33
  • Merged pull requests: 35
  • Bot issues: 0
  • Bot pull requests: 1
View more stats
Top Authors
Issue Authors
  • Datseris (28)
  • KalelR (8)
  • mdepitta (4)
  • reykboerner (3)
  • awage (3)
  • KristofferC (1)
  • k1m9l (1)
  • andreasmorr (1)
  • spaette (1)
  • Xiaomingzzhang (1)
  • JuliaTagBot (1)
Pull Request Authors
  • Datseris (105)
  • awage (25)
  • KalelR (16)
  • github-actions[bot] (11)
  • StefanVaylBX2023 (5)
  • guitorri (2)
  • reykboerner (2)
  • Jay-sanjay (1)
  • spaette (1)
Top Labels
Issue Labels
enhancement (8) bug (8) recurrences (7) basin boundaries (5) good first issue (5) performance (5) ux (4) tipping (4) wanted feature (3) design discussion (3) hard (3) documentation (3) continuation (3) mapper (1) accuracy (1) matching (1) high priority (1) plotting (1) grouping (1) featurizing (1) simplification (1) question (1)
Pull Request Labels
hacktoberfest-accepted (2) plotting (1) quality of life (1)

Packages

  • Total packages: 1
  • Total downloads:
    • julia 135 total
  • Total dependent packages: 1
  • Total dependent repositories: 0
  • Total versions: 83
juliahub.com: Attractors

Find attractors (and their basins) of dynamical systems. Perform global continuation. Study nonlocal stability (or resilience). Also tipping points functionality.

  • Versions: 83
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 135 Total
Rankings
Dependent repos count: 9.9%
Average: 29.4%
Forks count: 33.3%
Stargazers count: 35.6%
Dependent packages count: 38.9%
Last synced: 6 months ago

Dependencies

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