# \[ANN\] Durbyn.jl — Time Series Forecasting in Julia

**URL:** <https://discourse.julialang.org/t/ann-durbyn-jl-time-series-forecasting-in-julia/132544>\
**Category:** Package Announcements\
**Tags:** package\
**Created:** [September 21, 2025, 8:35pm UTC](https://discourse.julialang.org/t/ann-durbyn-jl-time-series-forecasting-in-julia/132544 "2025-09-21T20:35:22Z")\
**Posts on this page:** 1\
**Showing post:** 45

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**Author:** ![j\_u](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/j_u/32/219081_2.png) [@j\_u](https://discourse.julialang.org/u/j_u)\
**Post date:** [October 2, 2025, 10:22pm UTC](https://discourse.julialang.org/t/ann-durbyn-jl-time-series-forecasting-in-julia/132544/45 "2025-10-02T22:22:01Z")

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> [@Resul.Akay](#):
>
> @j_u […] At the same time, I feel the bigger risk for Julia doesn’t come so much from **R** or **Python** , but rather from **Rust** , which is advancing quickly in performance-sensitive areas.

Well, yeah, I agree with you, it does look like not only performance-sensitive areas but almost the entire internet is being rewritten in Rust. In general, this kind of strategic analysis is closer to my background than programming itself. From my experience, it usually takes a lot of time and effort to identify all the relevant factors, opportunities, and strengths. It’s a fascinating topic, especially since it feels like the programming industry might currently be undergoing some structural changes.

I have to admit I haven’t done any deep thinking on this subject. I sustain, that my general impression is that sometimes other ecosystems seem to be advancing a bit faster than Julia’s. That being said, there’s also the question of quality. What I wanted to convey is that the packages and scientific work I mentioned earlier, as well as many other efforts I probably don’t know about, could put Julia in a much stronger position than it might seem at first glance, hence, our friends working with Rust might end up just spinning their wheels … :- )

> [@Resul.Akay](#):
>
> In my view, the Julia community could also benefit from engaging more with industry practitioners – people like me who work with large-scale forecasting problems – so that tools stay practical and relevant in production.

I think we actually are engaging. I guess, it’s hard to argue otherwise. Every post gets answered, there are already forty three messages in this topic, over 1.3k views, and high-quality advice on package performance and user interface.

> [@Resul.Akay](#):
>
> On a personal note, I’d be very happy to present in Julia community forums.

I think the best approach would be to contact the organizer of the [JuliaDynamics monthly meetings](https://discourse.julialang.org/t/juliadynamics-monthly-meetings-round-2/132357) directly with a message. From what I understand, your package is very much related to the kinds of topics usually discussed there. I am also aware that there are other opportunities, like during [JuliaConn](https://juliacon.org) which is a conference on the Julia programming language, however, I don’t know any details.

> [@Resul.Akay](#):
>
> There’s a related discussion happening on LinkedIn: [LinkedIn Post](https://www.linkedin.com/posts/activity-7378703114020790272-nZ2I).

I’m sorry, I wasn’t able to check that discussion. I have “LIn” heavily restricted on my computer, and I also have a long standing habit of not posting under my real name online. That said, I did send you an invite there. I’m always happy to make connections.

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