# How can we create a leaner ecosystem for Julia?

**URL:** https://discourse.julialang.org/t/how-can-we-create-a-leaner-ecosystem-for-julia/32904
**Category:** Statistics
**Tags:** package, proposal, time-series, machine-learning
**Created:** [January 3, 2020, 1:35am UTC](https://discourse.julialang.org/t/how-can-we-create-a-leaner-ecosystem-for-julia/32904 "2020-01-03T01:35:55Z")
**Posts on this page:** 1
**Showing post:** 12

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### Author: ![Albert\_Zevelev](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/albert_zevelev/32/11844_2.png) [@Albert\_Zevelev](https://discourse.julialang.org/u/Albert_Zevelev)
#### Post date: [January 3, 2020, 9:59pm UTC](https://discourse.julialang.org/t/how-can-we-create-a-leaner-ecosystem-for-julia/32904/12 "2020-01-03T21:59:50Z")

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Thank you for your comments! I’ll discuss the first (easier) question:  
Q1: if I’m using/developing Julia, what is an easy way to find all code in my domain?

1 From ([here](https://discourse.julialang.org/t/package-for-time-series/29555)) & ([here](https://discourse.julialang.org/t/tsanalysis-time-series-analysis-and-state-space-modelling/30672/2)) it is clear that Julia users are having trouble finding code in their domain.  
I wouldn’t have found many of the 20+ links I posted searching GitHub or Google. I knew about [Financial Risk Forecasting](https://www.financialriskforecasting.com/book-code/), [QuantEcon](https://github.com/QuantEcon/lecture-source-jl/blob/master/source/rst/time_series_models/arma.rst), [Creel](https://github.com/mcreel/Econometrics), and [Soderlind](https://github.com/PaulSoderlind?tab=repositories) before I heard of Julia.

2 @Roger-luo suggests standard keywords in the Pkg registry like in pip.

3 May I suggest a pinned post @ the top of each domain in [Discourse](https://discourse.julialang.org/c/domain/10)?  
For example, in the [Statistics](https://discourse.julialang.org/t/about-the-statistics-category/89) category description:  
(3.A) we can post links to time-series code (including the 20+ links above), and let users comment which packages are missing. When someone has an announcement about a new package, they can add their package to the list as well.  
(3.B) users can post [desired functionalities](https://discourse.julialang.org/t/what-are-your-most-coveted-functionalities-missing-in-the-ecosystem/26962) for that domain

Similarly for [Data](https://discourse.julialang.org/t/about-the-data-category/129), [Finance/Economics](https://discourse.julialang.org/t/about-the-finance-economics-category/5037), [Astro/Space](https://discourse.julialang.org/t/about-the-astro-space-category/5036) etc.

I’m personally interested in all ML packages for Julia & it’s harder to find things than you’d expect.  
This resource would be great for developers working on ML interfaces such as [MLJ](https://github.com/alan-turing-institute/MLJ.jl).

4 Individuals who have attempted to track Julia packages in various domains, have incomplete lists & rarely update those lists ([here](https://github.com/dominusmi/Julia-Machine-Learning-Review/blob/master/Libraries%20Summary.md), [here](https://www.simonwenkel.com/2018/10/05/Julia-for-datascience-machine-learning-and-artificial-intelligence.html), [here](https://ml-cheatsheet.readthedocs.io/en/latest/libraries.html#julia)).  
Hence, this resource is more likely to be maintained in an official location (such as Discourse).  
Perhaps put someone in charge of overseeing each list & they can pass the baton to someone else after a year?

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