oneAPI.jl VS Makie.jl

Compare oneAPI.jl vs Makie.jl and see what are their differences.

oneAPI.jl

Julia support for the oneAPI programming toolkit. (by JuliaGPU)

Makie.jl

Interactive data visualizations and plotting in Julia (by MakieOrg)
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oneAPI.jl Makie.jl
4 11
174 2,272
1.7% 0.8%
8.7 9.6
8 days ago 6 days ago
Julia Julia
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.

oneAPI.jl

Posts with mentions or reviews of oneAPI.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-08.
  • GPU vendor-agnostic fluid dynamics solver in Julia
    11 projects | news.ycombinator.com | 8 May 2023
    https://github.com/JuliaGPU/oneAPI.jl

    As for syntax, Julia syntax scales from a scripting language to a fully typed language. You can write valid and performant code without specifying any types, but you can also specialize methods for specific types. The type notation uses `::`. The types also have parameters in the curly brackets. The other aspect that makes this specific example complicated is the use of Lisp-like macros which starts with `@`. These allow for code transformation as I described earlier. The last aspect is that the author is making extensive use of Unicode. This is purely optional as you can write Julia with just ASCII. Some authors like to use `ε` instead of `in`.

  • Writing GPU shaders in Julia?
    1 project | /r/Julia | 17 Feb 2022
  • Cuda.jl v3.3: union types, debug info, graph APIs
    8 projects | news.ycombinator.com | 13 Jun 2021
    https://github.com/JuliaGPU/AMDGPU.jl

    https://github.com/JuliaGPU/oneAPI.jl

    These are both less mature than CUDA.jl, but are in active development.

  • Unified programming model for all devices – will it catch on?
    2 projects | news.ycombinator.com | 1 Mar 2021
    OpenCL and various other solutions basically require that one writes kernels in C/C++. This is an unfortunate limitation, and can make it hard for less experienced users (researchers especially) to write correct and performant GPU code, since neither language lends itself to writing many mathematical and scientific models in a clean, maintainable manner (in my opinion).

    What oneAPI (the runtime), and also AMD's ROCm (specifically the ROCR runtime), do that is new is that they enable packages like oneAPI.jl [1] and AMDGPU.jl [2] to exist (both Julia packages), without having to go through OpenCL or C++ transpilation (which we've tried out before, and it's quite painful). This is a great thing, because now users of an entirely different language can still utilize their GPUs effectively and with near-optimal performance (optimal w.r.t what the device can reasonably attain).

    [1] https://github.com/JuliaGPU/oneAPI.jl

Makie.jl

Posts with mentions or reviews of Makie.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-08.

What are some alternatives?

When comparing oneAPI.jl and Makie.jl you can also consider the following projects:

ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]

Gadfly.jl - Crafty statistical graphics for Julia.

Vulkan.jl - Using Vulkan from Julia

PyPlot.jl - Plotting for Julia based on matplotlib.pyplot

StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)

Gnuplot.jl - Julia interface to gnuplot

AMDGPU.jl - AMD GPU (ROCm) programming in Julia

RCall.jl - Call R from Julia

GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.

duckdf - 🦆 SQL for R dataframes, with ducks

KernelAbstractions.jl - Heterogeneous programming in Julia

DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia