fbpic VS simsopt

Compare fbpic vs simsopt and see what are their differences.

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fbpic simsopt
2 2
165 77
-0.6% -
8.1 9.6
8 days ago 3 days ago
Python Python
GNU General Public License v3.0 or later MIT 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.

fbpic

Posts with mentions or reviews of fbpic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-27.
  • Numba: A High Performance Python Compiler
    11 projects | news.ycombinator.com | 27 Dec 2022
    When I wrote my bachelor thesis years back I worked on a particle-in-cell code [1] that makes heavy use of numba for GPU kernels. At the time it was the most convenient way to do that from python. I remember spending weeks to optimizing these kernels to eek out every last bit of performance I could (which interestingly enough did eventually involve using atomic operations and introducing a lot of variables[2] instead of using arrays everywhere to keep things in registers instead of slower caches).

    I remember the team being really responsive to feature requests back then and I had a lot of fun working with it. IIRC compared to using numpy we managed to get speedups of up to 60x for the most critical pieces of code.

    [1]: https://github.com/fbpic/fbpic

  • Faster Python calculations with Numba: 2 lines of code, 13× speed-up
    5 projects | news.ycombinator.com | 18 Feb 2022
    We used numba to accelerate the code and most importantly write GPU kernels for the heavy parts. I remember spending hours optimising my code to eek out the most performance possible (which eventually meant using atomics and manually unrolling many loops because somehow this was giving us the best performance) but honestly I was really happy that I didn't need to write cuda kernels in C and generally it was pretty easy to work with. I remember back then the documentation was sometimes a little rough around the edges but the numba team was incredibly helpful and responsive. Overall I had a great time.

    [0] https://github.com/fbpic/fbpic

simsopt

Posts with mentions or reviews of simsopt. We have used some of these posts to build our list of alternatives and similar projects.
  • stellarator math problems: boozer surface approach
    1 project | /r/fusion | 24 May 2023
    Coil configurations are typically obtained numerically. You might know https://github.com/hiddenSymmetries/simsopt already, but if not, it's worth having a look at their example problems and understanding what's going on
  • Getting into fusion as a space physicist
    1 project | /r/fusion | 12 Apr 2022
    It sounds like to me that you are tied to a specific region or university? If so it might be difficult to get involved. However, a lot of work, especially on stellarator optimization, is done remotely, and tools are somewhat easy to get. For example, the simsopt project is fully open source, but it does involve compiling VMEC which is a pain. If you're willing to share your university/area of the country, then I can see if I know anyone involved in fusion research in your area.

What are some alternatives?

When comparing fbpic and simsopt you can also consider the following projects:

WarpX - WarpX is an advanced, time-based electromagnetic & electrostatic Particle-In-Cell code.

konsave - A command line program written in Python to let you backup your dotfiles and switch to other ones in an instant. Works out-of-the box on KDE Plasma!

pure_numba_alias_sampling - Pure numba version of Alias sampling algorithm from L. Devroye's, "Non-Uniform Random Random Variate Generation"

openmc - OpenMC Monte Carlo Code

autograd - Efficiently computes derivatives of numpy code.

fusion_plots - Plots and figures relevant for a fusion research lecture

ndarray_comparison - Benchmark of toy calculation on an n-dimensional array using python, numba, cython, pythran and rust

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

rust-numpy - PyO3-based Rust bindings of the NumPy C-API

paramak - Create parametric 3D fusion reactor CAD and neutronics models

nodevectors - Fastest network node embeddings in the west

Numba - NumPy aware dynamic Python compiler using LLVM