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Jupyenv Alternatives
Similar projects and alternatives to jupyenv
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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marimo
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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ploomber-engine
Discontinued A toolbox 🧰 for Jupyter notebooks 📙: testing, experiment tracking, debugging, profiling, and more!
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dockerized-jupyter-notebook
This Docker container provides a Jupyter Notebook environment with some useful tools pre-installed. It's based on Ubuntu latest version and includes Node.js, Pandoc, Git, and several Python libraries.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
jupyenv discussion
jupyenv reviews and mentions
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Papermill: Parameterizing, executing, and analyzing Jupyter Notebooks
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.
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JupyterLab 4.0
> 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.
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Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
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
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Need help Integrating Hasktorch into my Haskell Jupyter environment using Nix
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.
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is nix datasci
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
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How to use Matplotlib for Haskell in IHaskell
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.
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Why isn't NixOS more popular
(Hopefully the Flakes version of Nix gets released soon, and JupyterWith gets the flake treatment!)
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A note from our sponsor - InfluxDB
influxdata.com | 23 Apr 2025
Stats
tweag/jupyenv is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of jupyenv is Nix.