cufflinks
gator
cufflinks | gator | |
---|---|---|
2 | 1 | |
2,980 | 256 | |
- | 0.8% | |
10.0 | 4.4 | |
over 2 years ago | 3 months ago | |
Jupyter Notebook | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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
gator
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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
What are some alternatives?
nb_conda_kernels - Package for managing conda environment-based kernels inside of Jupyter
papermill - 📚 Parameterize, execute, and analyze notebooks
nbformat - Reference implementation of the Jupyter Notebook format
notebooker - Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
jupyenv - Declarative and reproducible Jupyter environments - powered by Nix
datapane - Build and share data reports in 100% Python
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