pyclaw
PyClaw is a Python-based interface to the algorithms of Clawpack and SharpClaw. It also contains the PetClaw package, which adds parallelism through PETSc. (by clawpack)
PyDG
Config files for my GitHub profile. (by PyDG)
| pyclaw | PyDG | |
|---|---|---|
| 1 | 1 | |
| 151 | 0 | |
| 0.7% | - | |
| 5.7 | 10.0 | |
| 8 days ago | over 2 years ago | |
| Fortran | ||
| BSD 3-clause "New" or "Revised" License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pyclaw
Posts with mentions or reviews of pyclaw.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-13.
PyDG
Posts with mentions or reviews of PyDG.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-13.
What are some alternatives?
When comparing pyclaw and PyDG you can also consider the following projects:
SELF - Spectral Element Library in Fortran
fenics-project
clawpack - Package for solving hyperbolic systems of partial differential equations
rodin - Modern C++17 finite element method and shape optimization framework.
SELF - Spectral Element Library in Fortran
p4pdes - C and Python examples from my book on using PETSc and Firedrake to solve PDEs