Science Score: 54.0%

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
  • Academic publication links
  • Committers with academic emails
    1 of 14 committers (7.1%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.8%) to scientific vocabulary

Keywords from Contributors

fluid-dynamics pde-solver spectral-methods
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: kburns
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Size: 61.1 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

Dedalus Project

Repo status Read the Docs PyPI - Python Version PyPI Conda Version PyPI - License

Dedalus is a flexible framework for solving partial differential equations using modern spectral methods. The code is open-source and developed by a team of researchers studying astrophysical, geophysical, and biological fluid dynamics.

Dedalus is written primarily in Python and features an easy-to-use interface with symbolic vectorial equation specification. For example, to simulate incompressible hydrodynamics in a ball, you can symbolically enter the equations, including gauge conditions and boundary conditions enforced with the tau method, as:

python problem.add_equation("div(u) + tau_p = 0") problem.add_equation("dt(u) - nu*lap(u) + grad(p) + lift(tau_u) = - u@grad(u)") problem.add_equation("u(r=1) = 0") problem.add_equation("integ(p) = 0")

Our numerical algorithms produce sparse and spectrally accurate discretizations of PDEs on simple domains, including Cartesian domains of any dimension, disks, annuli, spheres, spherical shells, and balls:

KdV-Burgers equation (1D IVP)
Rayleigh-Benard convection (2D IVP)
Periodic shear flow (2D IVP)
Poisson equation (2D LBVP)
Librational instability (disk IVP)
Spherical shallow water (sphere IVP)
Spherical shell convection (shell IVP)
Internally heated convection (ball IVP)

The resulting systems are efficiently solved using compiled libraries and are automatically parallelized using MPI. See the documentation for tutorials and additional examples.

Links

Developers

Owner

  • Name: Keaton J. Burns
  • Login: kburns
  • Kind: user
  • Location: Cambridge, MA
  • Company: MIT

Research scientist at MIT working on numerical methods and computational fluid dynamics.

Citation (CITATION.cff)

cff-version: 1.2.0
title: "Dedalus Project"
authors:
- family-names: "Burns"
  given-names: "Keaton J"
  orcid: "https://orcid.org/0000-0003-4761-4766"
- family-names: "Vasil"
  given-names: "Geoffrey M"
  orcid: "https://orcid.org/0000-0002-8902-5030"
- family-names: "Oishi"
  given-names: "Jeffrey S"
  orcid: "https://orcid.org/0000-0001-8531-6570"
- family-names: "Lecoanet"
  given-names: "Daniel"
  orcid: "https://orcid.org/0000-0002-7635-9728"
- family-names: "Brown"
  given-names: "Benjamin P"
  orcid: "https://orcid.org/0000-0001-8935-219X"
message: "<p>Please cite the following works when using this software:</p>\n<ul>\n<li>Dedalus methods paper:\n<ul>\n<li>https://doi.org/10.1103/PhysRevResearch.2.023068</li>\n</ul>\n</li>\n<li>Zenodo DOI for relevant release</li>\n<li>Papers describing novel bases being used (if relevant):\n<ul>\n<li>Disk:\n<ul>\n<li>https://doi.org/10.1016/j.jcp.2016.08.013</li>\n</ul>\n</li>\n<li>Sphere / Ball:\n<ul>\n<li>https://doi.org/10.1016/j.jcpx.2019.100013</li>\n<li>https://doi.org/10.1016/j.jcpx.2019.100012</li>\n</ul>\n</li>\n</ul>\n</li>\n</ul>"
preferred-citation:
  type: article
  authors:
  - family-names: "Burns"
    given-names: "Keaton J"
    orcid: "https://orcid.org/0000-0003-4761-4766"
  - family-names: "Vasil"
    given-names: "Geoffrey M"
    orcid: "https://orcid.org/0000-0002-8902-5030"
  - family-names: "Oishi"
    given-names: "Jeffrey S"
    orcid: "https://orcid.org/0000-0001-8531-6570"
  - family-names: "Lecoanet"
    given-names: "Daniel"
    orcid: "https://orcid.org/0000-0002-7635-9728"
  - family-names: "Brown"
    given-names: "Benjamin P"
    orcid: "https://orcid.org/0000-0001-8935-219X"
  title: "Dedalus: A flexible framework for numerical simulations with spectral methods"
  journal: "Physical Review Research"
  doi: "10.1103/PhysRevResearch.2.023068"
  volume: 2
  issue: 2
  start: 023068
  month: 4
  year: 2020

GitHub Events

Total
  • Push event: 7
Last Year
  • Push event: 7

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 1,813
  • Total Committers: 14
  • Avg Commits per committer: 129.5
  • Development Distribution Score (DDS): 0.265
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Keaton J. Burns k****s@g****m 1,332
Daniel Lecoanet d****t@g****m 200
Benjamin P. Brown b****n@g****m 145
Jeffrey S. Oishi j****i@g****m 111
Evan H. Anders e****s@g****m 11
Geoff Vasil g****l@g****m 4
Calum Skene c****e@l****k 3
maxhutch m****h@g****m 1
mabdulla99 4****9 1
Susan Clark s****9@g****m 1
Navid C. Constantinou n****y 1
Kishore Gopalakrishnan k****6@g****m 1
Jayce Slesar 4****r 1
Henri Drake h****e@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago


Dependencies

.github/workflows/publish_to_pypi.yml actions
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
  • pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/publish_to_test_pypi.yml actions
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
  • pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/test_dedalus.yml actions
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
  • dorny/test-reporter v1 composite
docs/requirements.rtd.txt pypi
  • nbsphinx *
  • pygments >=2.4.1
  • setuptools >=18.0
  • sphinx *
  • sphinx-autoapi *
  • sphinx-gallery <0.11.0
  • sphinx_rtd_theme >=1.0.0
  • sphinxcontrib-video *
pyproject.toml pypi
setup.py pypi
  • docopt *
  • h5py *
  • matplotlib *
  • mpi4py *
  • numexpr *
  • numpy *
  • py *
  • pytest *
  • pytest-benchmark *
  • pytest-cov *
  • pytest-parallel *
  • scipy *
  • xarray *