STELLOPT
This is the GitHub repository for STELLOPT, the state-of-the-art stellarator optimization code. (by PrincetonUniversity)
BOUT-dev
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems (by boutproject)
| STELLOPT | BOUT-dev | |
|---|---|---|
| 1 | 4 | |
| 51 | 167 | |
| - | 1.2% | |
| 9.2 | 9.0 | |
| 6 days ago | 8 days ago | |
| Fortran | C++ | |
| MIT License | GNU Lesser General Public License v3.0 only |
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.
STELLOPT
Posts with mentions or reviews of STELLOPT.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-19.
-
Open source sofware/software contribution opportunities in Fusion
STELLOPT: stellarator optimization
BOUT-dev
Posts with mentions or reviews of BOUT-dev.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-19.
-
Open source sofware/software contribution opportunities in Fusion
BOUT++: a framework for writing fluid and plasma simulations in curvilinear geometry
-
What programming languages are most used for creating advanced math-related software/simulations?
At least in my field (computational plasma physics), the majority of software is (in descending order) Fortran (e.g., SOLPS-ITER), Python (e.g., IPS; OMFIT; UEDGE), and C/C++ (e.g., BOUT++; Exascale Computing Project tools).
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how much relevance is given to code quality in your academia projects?
I don't want to paint too bleak a picture of my field - there are definitely big, well-supported projects that invest in code quality! For example, Bout++ is a fluid solver whose devs care a lot about best practices, and the folks at the Exascale Computing Project are doing great work with tools like Kokkos (GPU acceleration of HPCcodes), ADIOS (I/O for HPC), AMREX (meshes for HPC), etc.
- I write buggy code and my phd progress is catastrophic
What are some alternatives?
When comparing STELLOPT and BOUT-dev you can also consider the following projects:
mdsplus - The MDSplus data management system
geogebra - GeoGebra apps (mirror)
WarpX - WarpX is an advanced, time-based electromagnetic & electrostatic Particle-In-Cell code.
GITR - Global Impurity Transport
HAIL-CAESAR - The High-Performance Architecture-Independent LISFLOOD-CAESAR model of floodplain, river, and sediment dynamics
DREAM - The Disruption Runaway Electron Analysis Model
espresso - The ESPResSo package
fluid-engine-dev - Fluid simulation engine for computer graphics applications
psi4 - Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python