# About reproducibility of Julia program run times

**URL:** <https://discourse.julialang.org/t/about-reproducibility-of-julia-program-run-times/127613>\
**Category:** Performance\
**Created:** [April 2, 2025, 12:37am UTC](https://discourse.julialang.org/t/about-reproducibility-of-julia-program-run-times/127613 "2025-04-02T00:37:12Z")\
**Posts on this page:** 1\
**Showing post:** 14

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**Author:** ![Eben60](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/eben60/32/13475_2.png) [@Eben60](https://discourse.julialang.org/u/Eben60)\
**Post date:** [April 2, 2025, 9:02am UTC](https://discourse.julialang.org/t/about-reproducibility-of-julia-program-run-times/127613/14 "2025-04-02T09:02:10Z")

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> [@uwestoehr](#):
>
> Again, I really like Julia and for engineering laboratory applications it is great. But I cannot build code for customers or even for colleagues. Sure, it runs, but for example on evaluating real-time data from a sensor, run time is important.

In addition to the specific suggestions you were given, some general opinion:

- Having (soft or even not-that-soft) real-time application with Julia is feasible, e.g. [Case study: Real time hardware control for adaptive optics with Julia](https://discourse.julialang.org/t/case-study-real-time-hardware-control-for-adaptive-optics-with-julia/117155) or [Home · ReactiveToolkit.jl](https://narijauskas.github.io/ReactiveToolkit.jl/stable/) , however may require a lot of know-how.
- Sending code to colleagues can work if you provide them with detailed instructions and warn them about the pitfalls. I’ve successfully done that (GivEmXL.jl).
- For sending code to customers: IMO Julia is simply not there yet (but that is seen as an important target in the language development). What could currently probably be done is a some kind of a cloud solution.
- Your kind of (intended) Julia usage is (still) less common, meaning you may need to invest more-than-average time to learn suitable practices.
- I expect tools to generate redistributable Julia code to to get past experimental stage in a foreseeable future.

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