nb_conda_kernels
notebooker
| nb_conda_kernels | notebooker | |
|---|---|---|
| 3 | 1 | |
| 564 | 844 | |
| 0.9% | 2.1% | |
| 8.3 | 6.2 | |
| 10 days ago | 5 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU Affero General Public License v3.0 |
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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.
notebooker
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JupyterLab 4.0
To add to this, shamelessly self-promoting, Notebooker (https://github.com/man-group/notebooker) is a neat way of scheduling your Jupyter notebooks as parametrisable reports whose results are presented in a little web GUI (either as static HTML, PDF, or as reveal.js slideshow renders)
What are some alternatives?
JupyterLab - JupyterLab computational environment.
nbformat - Reference implementation of the Jupyter Notebook format
papermill - 📚 Parameterize, execute, and analyze notebooks
gator - Conda environment and package management extension from within Jupyter
jupyter-collaboration - A Jupyter Server Extension Providing Support for Y Documents
m1_huggingface_diffusers_demo - Demo of how to get HuggingFace Diffusers working on an M1 Mac
cufflinks - Productivity Tools for Plotly + Pandas
datasette - An open source multi-tool for exploring and publishing data
jupyenv - Declarative and reproducible Jupyter environments - powered by Nix