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RecursiveArrayTools.jl reviews and mentions
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Julia's latency: Past, present and future
You're not really supposed to be using StaticArraysCore anymore, but here's a somewhat older PR that shows the siginificance of moving StaticArray functionality on a smaller library, moving it from 6228ms to 292ms load time (https://github.com/SciML/RecursiveArrayTools.jl/pull/217).
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Julia 1.8 has been released
> > This gives the package authors a tool to basically "profile" the loading time of their package, which will help them optimize the loading time. So there _will_ be downstream improvement to package loading for us users too.
It lead to https://github.com/SciML/RecursiveArrayTools.jl/pull/217 . 6228.5 ms to 292.7 ms isn't too shabby.
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“Why I still recommend Julia”
The load times on some core packages were reduced by an order of magnitude this month. For example, RecursiveArrayTools went from 6228.5 ms to 292.7 ms. This was due to the new `@time_imports` in the Julia v1.8-beta helping to isolate load time issues. See https://github.com/SciML/RecursiveArrayTools.jl/pull/217 . This of course doesn't mean load times have been solved everywhere, but we now have the tooling to identify the root causes and it's actively being worked on from multiple directions.
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
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SciML/RecursiveArrayTools.jl is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of RecursiveArrayTools.jl is Julia.
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