Skip to main content

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:

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

Metadata

Release files for dedalus 3.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dedalus 3.0.5
File Size Uploaded
dedalus-3.0.5.tar.gz 248.9 kB Details

Release files / dedalus-3.0.5.tar.gz

Download URL dedalus-3.0.5.tar.gz
Size 248.9 kB
Tags Source
SHA-256 checksum
How to use checksums
4b504ef52dcd0eb176d136edb85e8adcd79b57af357137d4af85ecc1a0c7e47c
BLAKE2b-256 checksum
How to use checksums
ea8d310ef1e4619a8a8c5438760aaa066e8cf218f490299bfec5cbbf39893468
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.7
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page