nb_conda_kernels
cufflinks
| nb_conda_kernels | cufflinks | |
|---|---|---|
| 3 | 2 | |
| 564 | 2,946 | |
| 0.9% | - | |
| 8.3 | 10.0 | |
| 9 days ago | about 2 years ago | |
| Python | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
cufflinks
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JupyterLab 4.0
While I have no need for it's only functionality and the SAAS part of plotly, I really do like plotly python + cufflinks [1]. It lets you make interactive plots in html/js format. Which means you can save the notebook as html, and while people won't be able to rerun the code, they can still zoom in on graphs, hover to see annotations etc, which is a really nice way to share the outcome of your work in a more accessible way.
[1] https://github.com/santosjorge/cufflinks
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Plotly and Cufflinks : Advanced Python Data Visualization Libraries
If you are interested in financial analyst you can check out some functions here like moving averages, correlation between plots etc..: https://github.com/santosjorge/cufflinks/blob/b973f3a0f689816139de6c68855ab65ffec1556 7/cufflinks/ta.py
What are some alternatives?
JupyterLab - JupyterLab computational environment.
papermill - 📚 Parameterize, execute, and analyze notebooks
nbformat - Reference implementation of the Jupyter Notebook format
gator - Conda environment and package management extension from within Jupyter
jupyenv - Declarative and reproducible Jupyter environments - powered by Nix
notebooker - Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
m1_huggingface_diffusers_demo - Demo of how to get HuggingFace Diffusers working on an M1 Mac
datasette - An open source multi-tool for exploring and publishing data
jupyter-collaboration - A Jupyter Server Extension Providing Support for Y Documents