OpticSim.jl VS JuliaAdviceForMatlabProgrammers

Compare OpticSim.jl vs JuliaAdviceForMatlabProgrammers and see what are their differences.

OpticSim.jl

Optical Simulation software (by microsoft)

JuliaAdviceForMatlabProgrammers

Learning to love dispatch-oriented programming (by brenhinkeller)
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OpticSim.jl JuliaAdviceForMatlabProgrammers
6 1
347 38
- -
6.4 0.0
over 1 year ago almost 2 years ago
Julia
MIT License 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.

OpticSim.jl

Posts with mentions or reviews of OpticSim.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-22.

JuliaAdviceForMatlabProgrammers

Posts with mentions or reviews of JuliaAdviceForMatlabProgrammers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-22.
  • Opticsim.jl: Optical Simulation Software
    4 projects | news.ycombinator.com | 22 Mar 2021
    I think people often underestimate (or just plain don't know about) the degree to which a multiple-dispatch-based programming language like Julia effectively implies its whole own dispatch-oriented programming paradigm, with both some amazing advantages (composability [1], and an IMO excellent balance of speed and interactivity when combined with JAOT compilation), but also some entirely new pitfalls to watch out for (particularly, type-instability [2,3]). Meanwhile, some habits and code patterns that may be seen as "best practices" in Python, Matlab can be detrimental and lead to excess allocations in Julia [4], so it may almost be easier to switch to Julia (and get good performance from day 1) if you are coming from a language like C where you are used to thinking about allocations, in-place methods, and loops being fast.

    Things are definitely stabilizing a bit post-1.0, but it's still a young language, so it'll take a while for documentation to fully catch up; in the meanwhile, the best option in my experience has been to lurk the various chat forums (slack/zulip/etc.) and pick up best-practices from the folks on the cutting edge by osmosis.

    [1] https://www.youtube.com/watch?v=kc9HwsxE1OY

    [2] https://www.johnmyleswhite.com/notebook/2013/12/06/writing-t...

    [3] https://docs.julialang.org/en/v1.5/manual/performance-tips/#...

    [4] https://github.com/brenhinkeller/JuliaAdviceForMatlabProgram...

What are some alternatives?

When comparing OpticSim.jl and JuliaAdviceForMatlabProgrammers you can also consider the following projects:

gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

prysm - physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...

simpler-state - The simplest app state management for React

artificial-intelligence - Insincere System design about building intelligence, based on neural fluid model. Still a draft and I'm gathering resources and design ideas. Modern AI is a fancy calculator. It cannot be a creator/creation. It cannot be a simulacra/simulation.

Agents.jl - Agent-based modeling framework in Julia

OpticsWorkbench