# List JuliaHub packages by downloads

**URL:** <https://discourse.julialang.org/t/list-juliahub-packages-by-downloads/107468>\
**Category:** Community\
**Created:** [December 11, 2023, 9:41pm UTC](https://discourse.julialang.org/t/list-juliahub-packages-by-downloads/107468 "2023-12-11T21:41:19Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![awiersdorf](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/awiersdorf/32/205896_2.png) [@awiersdorf](https://discourse.julialang.org/u/awiersdorf)\
**Post date:** [December 11, 2023, 9:41pm UTC](https://discourse.julialang.org/t/list-juliahub-packages-by-downloads/107468/1 "2023-12-11T21:41:19Z")

</div>

I’m doing a little digging to see how popular various Julia packages are. I’d like to use number of downloads as a metric. Is there any way to see what the most n popular packages by downloads are on JuliaHub? (I’m interested in the `StaticArrays` package specifically; I’d like to see its popularity in context with other popular packages though.)

The feature that I’m looking for is would be something like [sorting by downloads on hex.pm](https://hex.pm/packages?sort=total_downloads) for Elixir packages—is there something like that for Julia packages?

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**Author:** ![mbauman](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mbauman/32/31082_2.png) [@mbauman](https://discourse.julialang.org/u/mbauman)\
**Post date:** [December 11, 2023, 10:02pm UTC](https://discourse.julialang.org/t/list-juliahub-packages-by-downloads/107468/2 "2023-12-11T22:02:29Z")

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JuliaHub is a consumer of the community package download stats — that’s the (anonymized) raw data:

> [@Announcing: package download stats!](https://discourse.julialang.org/t/announcing-package-download-stats/69073):
>
> After some years of getting the package server architecture in place and working (mostly) reliably, @staticfloat and I finally had some time to work on collecting logs into a data warehouse (we’re using [Snowflake](https://www.snowflake.com)) and designing a set of queries over the logs that we can run and publish regularly. The current public aggregated stats are available with the prefix https://julialang-logs.s3.amazonaws.com/public\_outputs/current/ followed by a rollup name and the suffix .csv.gz indicating that all t…

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**Author:** ![Lilith](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/lilith/32/27492_2.png) [@Lilith](https://discourse.julialang.org/u/Lilith)\
**Post date:** [February 28, 2024, 7:26pm UTC](https://discourse.julialang.org/t/list-juliahub-packages-by-downloads/107468/3 "2024-02-28T19:26:37Z")

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```julia
pkg> add https://github.com/LilithHafner/EcosystemExplorer.jl
     Cloning git-repo `https://github.com/LilithHafner/EcosystemExplorer.jl`
    Updating git-repo `https://github.com/LilithHafner/EcosystemExplorer.jl`
 [...]

julia> using EcosystemExplorer
[Info: Precompiling DataFramesExt [9e668153-f473-5010-85ff-a85cbe3b95ea]
 [...]

julia> summ = EcosystemExplorer.summary()
Downloading package request logs
10621×6 DataFrame
   Row │ name version downloads dependencies dependents uuid                                 
       │ String VersionN… Int64 Array… Array… Base.UUID                            
───────┼───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
     1 │ Compat 4.14.0 50817 String[] String[] 34da2185-b29b-5c13-b0c7-acf172513d20
     2 │ DataStructures 0.18.17 43727 ["Compat", "OrderedCollections"] ["Compat", "OrderedCollections"] 864edb3b-99cc-5e75-8d2d-829cb0a9cfe8
     3 │ TranscodingStreams 0.10.3 43572 ["Test", "Random"] ["Test", "Random"] 3bb67fe8-82b1-5028-8e26-92a6c54297fa
   ⋮ │ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮
 10619 │ RobotDescriptions 0.0.1 0 String[] String[] 498c179e-6d39-5d99-a5ec-710f95d458bc
 10620 │ RollingDedispersion 0.0.1 0 String[] String[] de1a5888-936f-4c73-9525-49a60d2dc87e
 10621 │ Sabermetrics 0.0.1 0 String[] String[] 415736d3-e371-4b8a-9ed5-2a314a4b3aac
                                                                                                                                             10615 rows omitted

julia> summ[summ.name .== "StaticArrays", :]
1×6 DataFrame
 Row │ name version downloads dependencies dependents uuid                                 
     │ String VersionN… Int64 Array… Array… Base.UUID                            
─────┼────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
   1 │ StaticArrays 1.9.3 40459 ["StaticArraysCore", "Statistics… ["StaticArraysCore", "Statistics… 90137ffa-7385-5640-81b9-e52037218182

```