notebooker
gator
notebooker | gator | |
---|---|---|
1 | 1 | |
844 | 256 | |
2.1% | 0.8% | |
6.2 | 4.4 | |
9 days ago | 3 months ago | |
Python | TypeScript | |
GNU Affero General Public License v3.0 | 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.
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
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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)
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
nbformat - Reference implementation of the Jupyter Notebook format
jupyter-collaboration - A Jupyter Server Extension Providing Support for Y Documents
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
papermill - 📚 Parameterize, execute, and analyze notebooks
datasette - An open source multi-tool for exploring and publishing data
livebook - Automate code & data workflows with interactive Elixir notebooks