jupyenv
voila
jupyenv | voila | |
---|---|---|
6 | 23 | |
599 | 5,214 | |
1.8% | 1.0% | |
3.1 | 7.9 | |
8 days ago | 18 days ago | |
Nix | Python | |
MIT License | GNU General Public License v3.0 or later |
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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!)
voila
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voila VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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Show HN: Mercury – convert Jupyter Notebooks to Web Apps without code rewriting
Quick link: https://github.com/voila-dashboards/voila
Humbly recommend when you share a product, you include a link to it ;)
https://voila.readthedocs.io/en/stable/
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Evidence – Business Intelligence as Code
> Works with CI/CD out of the box. Deploy to vercel, netlify, your own infra.
Jupyter is suited for whatever you want to do with it. Voila exists to enable the use case of re-generating notebooks on a CI/CD system: https://github.com/voila-dashboards/voila
Anyways, seems like the templating is more powerful than the one being offered by Jupyter Notebooks.
Good luck and much success with it :)
- Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
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Warning, Streamlit collects a lot of data!
i don't understand why everyone isn't just using voila. it's so much better than streamlit or gradio. but that's just my opinion i guess.
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Mercury – Turn Python Notebooks to Web Apps
Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).
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Turn Jupyter Notebook to Web App with open-source Mercury framework and Python only
Any insights what the differences between this and Voila are? https://github.com/voila-dashboards/voila
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New library to develop streamlit apps in jupyter
A nifty little alternative to voila, one might say.
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How do you guys share R/Python based analyses to business stakeholders?
Markdown and/or Voilà https://github.com/voila-dashboards/voila
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Looking for web app generator from JSON data
If you are comfortable working in a Jupyter Notebook you can combine ipywidgets & Voila.
What are some alternatives?
nixos-manager - Manage your NixOS packages and configuration via a simple, intuitive UI
mercury - Convert Jupyter Notebooks to Web Apps
ihaskell - A Haskell kernel for the Jupyter project.
streamlit - Streamlit — A faster way to build and share data apps.
nbformat - Reference implementation of the Jupyter Notebook format
papermill - 📚 Parameterize, execute, and analyze notebooks
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
PyMe - PyMe is a tool software to develop the Python User Interface for Python programmer.
jupyter-collaboration - A Jupyter Server Extension Providing Support for Y Documents
ipyflex - A WYSIWYG layout editor for Jupyter widgets
nb_conda_kernels - Package for managing conda environment-based kernels inside of Jupyter
Solara - A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps