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Pkg.jl Alternatives
Similar projects and alternatives to Pkg.jl
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parca
Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
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TriangularSolve.jl
rdiv!(::AbstractMatrix, ::UpperTriangular) and ldiv!(::LowerTriangular, ::AbstractMatrix)
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SciMLBenchmarks.jl
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
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AutoMLPipeline.jl
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
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ScientificTypes.jl
An API for dispatching on the "scientific" type of data instead of the machine type
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Pkg.jl discussion
Pkg.jl reviews and mentions
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Julia 1.9 Highlights
There was a "bug" (or just unhandled caching case) that effected the Pluto notebook system that required precompilation each time. This is because Pluto notebooks kept a manifest (so they always instantiated with the same packages every time for full reproducibility) and the instantiation of that manifest triggered not just package running but also precompilation. That was fixed in https://github.com/JuliaLang/Pkg.jl/pull/3378, with a larger discussion in https://discourse.julialang.org/t/first-pluto-notebook-launc.... That should largely remove this issue as in included in the v1.9 release (it was first in v1.9-RC2 IIRC).
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Unable to load PDMats package.
The closest thing I got to is this and I don't even understand what they are saying.
- Why Fortran is easy to learn
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MlJ.jl: A Julia Machine Learning Framework
This is exacerbated by the fact that Julia's Pkg.jl does not yet support conditional/optional dependencies [0]. A lot of these meta packages tend to pull everything but the kitchen sink.
[0]: https://github.com/JuliaLang/Pkg.jl/issues/1285
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Adding packages in Julia extremely painful
The LTS release is over two years old, and Julia has received a lot of developer attention since then, resulting in new features and performance improvements that tutorial authors don't want to do without. You can safely use the latest stable release (v1.5.3), although you may also want to apply the Git registry fix (https://github.com/JuliaLang/Pkg.jl/issues/2014#issuecomment-730676631) for further improvements in download/setup speed.
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A note from our sponsor - SaaSHub
www.saashub.com | 4 Oct 2024
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JuliaLang/Pkg.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 Pkg.jl is Julia.