notebooker VS jupyter-collaboration

Compare notebooker vs jupyter-collaboration and see what are their differences.

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notebooker jupyter-collaboration
1 3
844 126
2.1% 4.0%
6.2 8.3
9 days ago 6 days ago
Python Jupyter Notebook
GNU Affero General Public License v3.0 GNU General Public License v3.0 or later
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.

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.
  • JupyterLab 4.0
    15 projects | news.ycombinator.com | 13 Jun 2023
    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)

jupyter-collaboration

Posts with mentions or reviews of jupyter-collaboration. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-04.
  • Multiple Notepad++ Flaws Let Attackers Execute Arbitrary Code
    7 projects | news.ycombinator.com | 4 Sep 2023
    https://github.com/jupyterlab/jupyter-collaboration

    And then vscode sessions and thus macros could be recorded from ide events and appended to a jupyter_ydoc: https://github.com/jupyter-server/jupyter_ydoc

  • JupyterLab 4.0
    15 projects | news.ycombinator.com | 13 Jun 2023
    Do you have an example of how this works with another tool/language?

    I don't know if I understood it correctly but maybe you could:

    - Upload your notebook to Github, then create a url with Binder (part of the jupyter ecosystem) directly to an editing/fiddling playground: https://mybinder.org/

    - If by user-local you mean on their own machine, they can clone your repo and run their own jupyterlab to fiddle

    - If everything should stay on your own computer/server, you could share a link to your own jupyterlab and collaborate with others in real-time: https://jupyterlab-realtime-collaboration.readthedocs.io/en/...

What are some alternatives?

When comparing notebooker and jupyter-collaboration you can also consider the following projects:

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

jupyter_ydoc - Jupyter document structures for collaborative editing using Yjs/pycrdt

gator - Conda environment and package management extension from within Jupyter

m1_huggingface_diffusers_demo - Demo of how to get HuggingFace Diffusers working on an M1 Mac

datapane - Build and share data reports in 100% Python

livebook - Automate code & data workflows with interactive Elixir notebooks

macro-commander - 💾 📦 ✅ Automate everything in VS code

datasette - An open source multi-tool for exploring and publishing data