juliaup
Julia installer and version multiplexer (by JuliaLang)
Conda.jl
Conda managing Julia binary dependencies (by JuliaPy)
| juliaup | Conda.jl | |
|---|---|---|
| 10 | 3 | |
| 892 | 172 | |
| 1.2% | 1.2% | |
| 9.2 | 5.1 | |
| 3 days ago | 3 months ago | |
| Rust | Julia | |
| MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
juliaup
Posts with mentions or reviews of juliaup.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-13.
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How to tell Quarto where the julia-1.8 kernel is?
There is juliaup, available in the Microsoft store, for managing julia versions: https://github.com/JuliaLang/juliaup
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Is it better to install Julia with its own executable or to install it in an Anaconda environment?
Better use the official binaries from https://julialang.org/downloads/. For Windows, best use the Julia app in the MS Store (https://github.com/JuliaLang/juliaup ).
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Neovim can't find executable path for program
Thanks - fwiw, I currently use juliaup, which basically does the same thing. Unfortunately, the problem isn't that Julia isn't on the path (it is), it's that Neovim's exepath can't find it, for some reason. :)
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Julia 1.8 released
But it’s considered prerelease for Mac and Linux according to its git repository. So presumably it won’t become the default until it’s not experimental any more.
- appropriate way to run two versions of Julia on linux
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Créer simplement un cluster k8s dans PhoenixNAP avec Rancher en quelques clics …
GitHub - JuliaLang/juliaup: Julia installer and version multiplexer GitHub - JuliaPluto/PlutoUI.jl GitHub - fonsp/Pluto.jl: 🎈 Simple reactive notebooks for Julia
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I don't want to abandon Rust for Julia
Use the right tool for the job! I would never write a system utility or OS or user application or compiler in Julia, for example. juliaup is a Julia utility being written in Rust for this exact reason!
- Small Neural networks in Julia 5x faster than PyTorch
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What's the standard procedure for package requests?
And yes, I know about jill.py and have considered using it as well. It seems fairly straightforwad to use. A similar project that I found interesting is juliaup. Still, I would definitely prefer just using zypper instead of relying on third party tools. That's why I figured I might as well ask on here.
- Get first n element from an array
Conda.jl
Posts with mentions or reviews of Conda.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-13.
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Can't use SymPy and PyCall
The Julia session need to be restarted. More information is available at https://github.com/JuliaPy/Conda.jl.
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Help: I'm desperate. FEnics and MSHR incompatibility
Maybe try with Conda.jl if it is the integration with Julia that is the problem?
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How to tell Quarto where the julia-1.8 kernel is?
> The first time you run `notebook()` , it will prompt you for whether it should install Jupyter. Hit enter to have it use the [Conda.jl](https://github.com/Luthaf/Conda.jl) package to install a minimal Python+Jupyter distribution (via [Miniconda](http://conda.pydata.org/docs/install/quick.html)) that is private to Julia (not in your `PATH` )
What are some alternatives?
When comparing juliaup and Conda.jl you can also consider the following projects:
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
Conda.jl - Conda managing Julia binary dependencies [Moved to: https://github.com/JuliaPy/Conda.jl]
jill.py - A cross-platform installer for the Julia programming language
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
vectorflow
jill - Command line installer of the Julia Language.
Pluto.jl - 🎈 Simple reactive notebooks for Julia
n - Node version management
PlutoUI.jl
blis - BLAS-like Library Instantiation Software Framework
jlrs - Julia bindings for Rust
PyCall.jl - Package to call Python functions from the Julia language