jupyenv

Declarative and reproducible Jupyter environments - powered by Nix (by tweag)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better jupyenv alternative or higher similarity.

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jupyenv reviews and mentions

Posts with mentions or reviews of jupyenv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-09-18.
  • Papermill: Parameterizing, executing, and analyzing Jupyter Notebooks
    5 projects | news.ycombinator.com | 18 Sep 2024
    Are we talking about the same https://github.com/tweag/jupyenv ?

    It encapsulates the kernel, which encapsulates pretty much everything for the notebook, right? I haven't worked with Slurm or OpenPBS, but I think if you let nix build the images that your tasks are running in then I think you're covered for pretty much everything except things that only exist at runtime like database connections. Not a perfect black box, but close.

  • JupyterLab 4.0
    15 projects | news.ycombinator.com | 13 Jun 2023
    > There aren't good boundaries between Jupyter's own Python environment, and that of your notebooks— if you have a dependency which conflicts with one of Jupyter's dependencies, then good luck.

    I believe that you can use https://github.com/tweag/jupyenv for this.

  • Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
    10 projects | news.ycombinator.com | 3 Apr 2023
    your task is very very broad

    you mention you don't want to deal with AWS, if it's because of ad-hoc installation concerns and nothing else you can just run your notebooks in ready-made solutions like Google Colab, or Jupyter-book in Github ( https://github.com/executablebooks/jupyter-book ))

    that would cover a lot of use cases right away without next to no learning curve

    If you don't want to deal with AWS or similar, in that case:

    - if it's a static notebook then you can obviously render it and serve the web content (might seem obvious but needs to be considered)

    - if it's dynamic but has light hardware requirements, you can try jupyterlite which runs in the browser and should do a pyodine (webassembly CPython kernel) can do: https://jupyterlite.readthedocs.io/en/latest/try/lab/

    - otherwise, you can try exposing a dockerised jupyter env ( as in https://github.com/MKAbuMattar/dockerized-jupyter-notebook/b... ) or even better a nixified one ( https://github.com/tweag/jupyenv )

    there might be other approaches I'm missing, but I think that's pretty much it that doesn't entail some proprietary solution or an ad-hoc installation as you've been doing

  • Need help Integrating Hasktorch into my Haskell Jupyter environment using Nix
    2 projects | /r/NixOS | 26 Feb 2023
    I'm new to Nix and I'm trying to set up a Jupyter notebook environment for Haskell that includes the Hasktorch package. I'm using the jupyenv project from Tweag as the foundation, and I've been able to get it working with some basic Haskell packages. However, I'm running into issues when I try to add Hasktorch to the mix.
  • is nix datasci
    1 project | /r/NixOS | 31 Aug 2022
    i looked at https://nixos.org/manual/nixpkgs/stable/#python https://nix-tutorial.gitlabpages.inria.fr/nix-tutorial/index.html https://github.com/tweag/jupyterWith and i can setup jupyterwith + math-nix + flake to make torch + jupyter
  • How to use Matplotlib for Haskell in IHaskell
    4 projects | /r/haskell | 15 Aug 2021
    You could look into jupyterWith. With that you can list the packages you want to use in a shell.nix file; based on this file an environment is created in which Jupyter is run. I've also had issues with using packages with regular IHaskell in the past, but jupyterWith works pretty well for me.
  • Why isn't NixOS more popular
    3 projects | /r/NixOS | 3 Jan 2021
    (Hopefully the Flakes version of Nix gets released soon, and JupyterWith gets the flake treatment!)
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