notebooker
Productionise & schedule your Jupyter Notebooks as easily as you wrote them. (by man-group)
cufflinks
Productivity Tools for Plotly + Pandas (by santosjorge)
| notebooker | cufflinks | |
|---|---|---|
| 1 | 2 | |
| 844 | 2,980 | |
| 2.1% | - | |
| 6.2 | 10.0 | |
| 9 days ago | over 2 years ago | |
| Python | Jupyter Notebook | |
| GNU Affero General Public License v3.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
notebooker
Posts with mentions or reviews of notebooker.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-13.
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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)
cufflinks
Posts with mentions or reviews of cufflinks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-13.
-
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?
When comparing notebooker and cufflinks you can also consider the following projects:
nb_conda_kernels - Package for managing conda environment-based kernels inside of Jupyter
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
jupyenv - Declarative and reproducible Jupyter environments - powered by Nix
m1_huggingface_diffusers_demo - Demo of how to get HuggingFace Diffusers working on an M1 Mac