DUdunefox·Dec 18, 2021
In Which programming language or compiler is fasterdmolina
DaemonMode.jl
Julia2020–2023
dmolina / DaemonMode.jl
DaemonMode.jl
Client-Daemon workflow to run faster scripts in Julia
12Distinct people
22Mentions
0Explicit recommenders
305GitHub stars
What to know before exploring
What it is
Client-Daemon workflow to run faster scripts in Julia
GitHub
Where it is used
No documented product use was verified in the last source check.
What people are saying
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Also in these discussions
- julialang/packagecompiler.jl · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 6:59:22 PM UTC.
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HN mentions by year22 dated mentions
Observed mentions: 2020-08-03 18:32:29 UTC to 2023-12-04 17:26:11 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 11 | 0 | 11 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 8 | 0 | 8 |
What Hacker News says
11 sourcesJust keep it running as a daemon? https://github.com/dmolina/DaemonMode.jl
In Is Julia Really Fast?While I definitely agree, I'd say Julia is totally fine for short scripts too. Just spin up https://github.com/dmolina/DaemonMode.jl and you can launch lots of short scripts without excessively restarting julia.
There's also PackageCompiler.jl https://github.com/JuliaLang/PackageCompiler.jl for AOT compilation, but that's heavy enough that I wouldn't bother with it for short scripts.
In Julia: Faster than Fortran, cleaner than NumpyYou can have what you want here by using DaemonMode.jl
https://github.com/dmolina/DaemonMode.jl
In Julia: Faster than Fortran, cleaner than NumpyThe startup times have improved a lot in version 1.6, the latest release, and are I
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
In Julia: Faster than Fortran, cleaner than NumpyPlenty of people use the REPL in terminal and sublime text or vim or whatever. I also dislike browser-based tooling and think Julia has done a good job avoiding Rstudio-style dependencies.
But if your point is the inability to do `julia script.jl` , yeah thats a pain point. Fortunately there has been some tooling to make running many jobs in a row easier: https://github.com/dmolina/DaemonMode.jl
In Introduction to Pluto.jlWhile 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.
In Julia: A Post-MortemWell then, DaemonMode.jl
as a hack to run scripts as fast as in REPL by leaving a julia Daemon running and just sending work to it
https://github.com/dmolina/DaemonMode.jl
In Julia 1.6: what has changed since Julia 1.0?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
In 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.
In Julia 1.6: what has changed since Julia 1.0?You may want to look at [DaemonMode.jl](https://github.com/dmolina/DaemonMode.jl), which spins up a persistent Julia process in the background so you don't have to pay the TTFP penalty more than once, even when shell-scripting.
In Julia 1.6: what has changed since Julia 1.0?