DaemonMode.jl
Makie.jl
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DaemonMode.jl | Makie.jl | |
---|---|---|
22 | 11 | |
268 | 2,253 | |
- | 2.0% | |
4.7 | 9.7 | |
3 months ago | 5 days ago | |
Julia | Julia | |
MIT License | MIT License |
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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.
DaemonMode.jl
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Potential of the Julia programming language for high energy physics computing
Thats for an entry point, you can search `Base.@main` to see a little summary of it. Later it will be able to be callable with `juliax` and `juliac` i.e. `~juliax test.jl` in shell.
DynamicalSystems looks like a heavy project. I don't think you can do much more on your own. There have been recent features in 1.10 that lets you just use the portion you need (just a weak dependency), and there is precompiletools.jl but these are on your side.
You can also look into https://github.com/dmolina/DaemonMode.jl for running a Julia process in the background and do your stuff in the shell without startup time until the standalone binaries are there.
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Julia 1.9.0 lives up to its promise
>a nd you can't quickly run a script
What is wrong with the following to run a script?
$ julia myscript.jl
If you have specific needs that demand, after hitting return, the few seconds of delay for the vast majority of scripts is an issue, you can pre-compile it ahead of time or simply use something like https://github.com/dmolina/DaemonMode.jl
Julia has issues as with all languages but "not being able to quickly run a script" is by far one of the easiest to work around.
> and you can't quickly run a script or REPL for development.
REPL- I'm not sure what you are getting at here. Of course you can - that's how many of use it.
> And now Julia has competition from Mojo.
...maybe. The code-samples we've seen from Mojo look very similar to Python, obviously. And that is specifically why a lot of poeple love Julia.
The problems people are more and more interested in (machine learning, etc) are at their base mathematical problems. The code should look as close to that math as possible. Spamming np.linalg, sp.sparse, and so forth over and over again is just ugly, and the entire Python workflow overly encourages object oriented design for concepts that are mathematically functions. And, well, should be functions.
Mojo may make Python faster, but even with Mojo, Python will always be a high level wrapper around C and C++.
> If I were to use e.g. Rust with polars, load time would be virtually none.
Because you're compiling...
And if you need to do the same in Julia, you should also pre-compile or some other method like https://github.com/dmolina/DaemonMode.jl (their demo shows loading a database, with subsequent loads after the first one taking roughly ~0.2% of the first)
- Administrative Scripting with Julia
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Is Julia suitable today as a scripting language?
You can get around a lot of these problems with DaemonMode.jl though.
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Julia performance, startup.jl, and sysimages
You might want DaemonMode.jl
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Can I execute code in Julia REPL if I'm connected to a remote server?
https://github.com/dmolina/DaemonMode.jl can possibly help in the future. Leaving it here so that people know this is planned.
- Ask HN: Why hasn't the Deep Learning community embraced Julia yet?
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Compile for faster execution?
If you strongly prefer to run scripts though, then you can use the package https://github.com/dmolina/DaemonMode.jl in order to re-use a Julia session between multiple scripts, saving you recompilation time.
Makie.jl
- Julia and Mojo (Modular) Mandelbrot Benchmark
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SproutLife simulates the evolution of complex life.
Thanks! Looks like the Julia Makie library can do graphics and gui widgets as well -https://github.com/JuliaPlots/Makie.jl
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Zig library for generative images
How tricky or hard would it be to create nice looking plots from that? Something like https://github.com/JuliaPlots/Makie.jl but more low level.
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Julia 1.6: what has changed since Julia 1.0?
Makie.jl [1] does it's plotting on the GPU, so can handle millions of datapoints just fine.
Also, note that for people to whom plotting is really important, it's quite easy nowadays to just AOT compile your plotting library to your sysimage with PackageCompiler.jl [2] for instant plots.
What are some alternatives?
Gadfly.jl - Crafty statistical graphics for Julia.
PyPlot.jl - Plotting for Julia based on matplotlib.pyplot
Gnuplot.jl - Julia interface to gnuplot
RCall.jl - Call R from Julia
julia - The Julia Programming Language
oneAPI.jl - Julia support for the oneAPI programming toolkit.
duckdf - 🦆 SQL for R dataframes, with ducks
Franklin.jl - (yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
HTTP.jl - HTTP for Julia
SproutLife - Evolving version of Conway’s Game of Life.
julia-numpy-fortran-test - Comparing Julia vs Numpy vs Fortran for performance and code simplicity
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia