Dedalus Project
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](https://dedalus-project.readthedocs.io/en/latest/pages/gauge_conditions.html) and [boundary conditions enforced with the tau method](https://dedalus-project.readthedocs.io/en/latest/pages/tau_method.html), 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:
The resulting systems are efficiently solved using compiled libraries and are automatically parallelized using MPI.
See the [documentation](http://dedalus-project.readthedocs.org) for tutorials and additional examples.
## Links
* Project homepage:
* Code repository:
* Documentation:
* Mailing list:
## Developers
* [Keaton Burns (@kburns)](https://github.com/kburns)
* [Geoff Vasil (@geoffvasil)](https://github.com/geoffvasil)
* [Jeff Oishi (@jsoishi)](https://github.com/jsoishi)
* [Daniel Lecoanet (@lecoanet)](https://github.com/lecoanet/)
* [Ben Brown (@bpbrown)](https://github.com/bpbrown)
