DaemonMode.jl Alternatives
Similar projects and alternatives to DaemonMode.jl
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julia-numpy-fortran-test
Comparing Julia vs Numpy vs Fortran for performance and code simplicity
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JET.jl
scratch: experimental code analyzer for Julia, no need for additional type annotations
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Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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CSV.jl
Utility library for working with CSV and other delimited files in the Julia programming language
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Reviews and mentions
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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.
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Julia: Faster than Fortran, cleaner than Numpy
Proving again in the next upcoming release candidate.
Are you hitting the startup time very often? If so, you might want to try some things to keep one julia session open and sending code to it like a daemon instead of constantly closing and opening sessions.
This package makes that workflow really easy: https://github.com/dmolina/DaemonMode.jl
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Why not Julia?
I would say so. As has been said countless time, running Julia scripts from the command line is not idiomatic. It might be fine for some things, but not for this use case. But, what you can do is use eitherhttps://github.com/dmolina/DaemonMode.jl
Yeah, unfortunately out of the box, that use case is still not great. If the main delay if loading a PKG tho, you can use DaemonMode.jl to go around that. It basically loads the pkg in the using x line the first time you run the script, and just uses that everytime you use x again.
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I'm considering Rust, Go, or Julia for my next language and I'd like to hear your thoughts on these
Package load times were cut by roughly a factor of two, in my experience, but that doesn't bring the initialization overhead down to the point where it's usable as a standalone microservice. Your best options at this point are https://github.com/dmolina/DaemonMode.jl, which keeps a Julia process running in the background using a client/server model, or https://github.com/JuliaLang/PackageCompiler.jl, which allows for ~zero-overhead package loading (at the cost of some up-front complexity).
- CSV.File read extremely slow
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Julia: A Post-Mortem
While moving the loop into Julia (as others suggested) is probably the better option, an alternative you could consider is DaemonMode: https://github.com/dmolina/DaemonMode.jl
I.e., have a background Julia process so that you only have to pay the precompile cost once.
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Running Scripts Is Terribly Slow Im New To Julia
I am unbias because I am the author, but I recommend to check https://github.com/dmolina/DaemonMode.jl, because it was designed to avoid that problem and be able to use julia in scripts without problems waiting. Running the first script that load first a package takes time, but following scripts not. Not only I am the author, I am mainly a happy user, because I use Julia frequently in scripts very happily.
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Julia 1.6: what has changed since Julia 1.0?
> (and for many good reasons you shouldn't)
Could you elaborate on this? I'd say repl based interactive programming is one of julia's greatest strengths, and avoiding the repl is probably setting yourself up for pain.
That said, if you do find yourself running lots of scripts and paying this penalty all the time, I'd suggest https://github.com/dmolina/DaemonMode.jl as a great way around these pains.
most of the users use an IDE or a notebook, no need to only use REPL.
If you're a old school editor -> terminal run kind of person, checkout https://github.com/dmolina/DaemonMode.jl
Stats
dmolina/DaemonMode.jl is an open source project licensed under MIT License which is an OSI approved license.
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