nb_conda_kernels
jupyenv
nb_conda_kernels | jupyenv | |
---|---|---|
3 | 6 | |
564 | 599 | |
0.9% | 1.8% | |
8.3 | 3.1 | |
10 days ago | 8 days ago | |
Python | Nix | |
BSD 3-clause "New" or "Revised" License | MIT License |
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nb_conda_kernels
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JupyterLab 4.0
If you use conda there are extensions that can help with this by automatically registering any available conda environments that include ipykernel in your Jupyter Lab environment.
nb_conda_kernels is pretty reliable but not actively maintained. Gator from the mamba folks is new and still a bit rough around the edges but looks like it will be pretty slick eventually.
https://github.com/Anaconda-Platform/nb_conda_kernels
https://github.com/mamba-org/gator
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How to open Notebook in new tab from a Launcher Terminal
it sounds like what you're trying to do is what https://github.com/Anaconda-Platform/nb_conda_kernels does, except with pipenv. I unfortunately do not have a solution for you for pipenv, but nb_conda_kernels does seamlessly allow you to launch kernels in environments other than the environment Jupyter is running in without having to start multiple instances of jupyter.
jupyenv
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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!)
What are some alternatives?
JupyterLab - JupyterLab computational environment.
nixos-manager - Manage your NixOS packages and configuration via a simple, intuitive UI
papermill - đź“š Parameterize, execute, and analyze notebooks
ihaskell - A Haskell kernel for the Jupyter project.
gator - Conda environment and package management extension from within Jupyter
nbformat - Reference implementation of the Jupyter Notebook format
notebooker - Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
m1_huggingface_diffusers_demo - Demo of how to get HuggingFace Diffusers working on an M1 Mac
jupyter-collaboration - A Jupyter Server Extension Providing Support for Y Documents
cufflinks - Productivity Tools for Plotly + Pandas
dream2nix - Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]