# A maintained list of Julia’s code and resources

**URL:** <https://discourse.julialang.org/t/a-maintained-list-of-julia-s-code-and-resources/95128>\
**Category:** New to Julia\
**Tags:** question, package\
**Created:** [February 24, 2023, 12:08pm UTC](https://discourse.julialang.org/t/a-maintained-list-of-julia-s-code-and-resources/95128 "2023-02-24T12:08:48Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![nilshg](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/nilshg/32/2283_2.png) [@nilshg](https://discourse.julialang.org/u/nilshg)\
**Post date:** [February 24, 2023, 2:15pm UTC](https://discourse.julialang.org/t/a-maintained-list-of-julia-s-code-and-resources/95128/6 "2023-02-24T14:15:49Z")

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I think the answer is this doesn’t exist. Your best bet is to search here on Discourse for specific topics in the hope to find something like this:

> [@Random variables in Julia (working list)](https://discourse.julialang.org/t/random-variables-in-julia-working-list/48762/12):
>
> I always liked these remarks: It’s useful to have a package with the modest ambition of providing Julia’s answer to the p-, q-, r- functions for the standard distributions, which Distributions.jl currently does more or less well. When it comes to all the fancy probabilistic programming stuff, is the overarching vision that Julia’s implementation of “the gamma distribution” is ultimately a special case of the same framework that addresses posterior sampling over tree spaces and things like th…

but this isn’t very widespread. Another avenue is GitHub organizations, but again this is topic dependent. I agree with Julio that in most cases your best bet is probably sticking a few keywords into JuliaHub and see what comes up for code and doc search - at least there it’s relatively easy to see how popular/well maintained (based on GitHub stars/commits) packages are.

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