kubespawner
Jupyter Notebook (IPython)
| kubespawner | Jupyter Notebook (IPython) | |
|---|---|---|
| 2 | 3 | |
| 523 | 7,591 | |
| 1.1% | 0.5% | |
| 8.6 | 9.7 | |
| 9 days ago | 7 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" 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.
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.
kubespawner
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A new and simple way to manage Jupyter notebooks on Kubernetes
I think most JupyerHub features can be provided/replaced with Kubernetes', the rest are not needed by most users.- JupyterHub has a helm chart to deploy JupyterHub, but then JupyterHub takes over to create and manage notebooks. In the case of notebook-on-kube, we have a Helm Chart to deploy the tool but the tool itself uses Helm as a Kubernetes client to create and manage notebooks(the tool runs helm install to install the Notebook Helm Chart (inception :))), so no need of JupyterHub and especially its spawner https://github.com/jupyterhub/kubespawner (which is a Kubernetes client)
- It's not what programming languages do, it's what they shepherd you to
Jupyter Notebook (IPython)
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MacBook: Jupyter Lab -- "ModuleNotFoundError: No module named 'pysqlite2'"
Based on this conversation, this more or less means that your Python installation is kind of borked. By default it should use the built-in sqlite3, but apparently your installation is either ignoring it or it's missing for some reason.
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basic question: normally i run apache or rabbitmq as user apache or user rabbitmq. should i run jupyterhub as root, yes or no?
this is just a summary of the jupyterhub docs: https://github.com/jupyterhub/jupyterhub/wiki/Using-sudo-to-run-JupyterHub-without-root-privileges
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Contributing to open source projects: let's get us all started
Something quite nifty I found about recently is that you can directly head over to the issues marked with these labels directly by going to the projects contributing page. For example, for JupyterHub, you would head over to https://github.com/jupyterhub/jupyterhub/contribute. Plus the Contribution guidelines are also made visible so you can access them directly!
What are some alternatives?
nbgrader - A system for assigning and grading notebooks
bpython - bpython - A fancy curses interface to the Python interactive interpreter
jupyterhub-deploy-docker - Reference deployment of JupyterHub with docker
ptpython - A better Python REPL
v-mode - 🌻 An Emacs major mode for the V programming language.
the-littlest-jupyterhub - Simple JupyterHub distribution for 1-100 users on a single server
match - :crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
nbstripout - strip output from Jupyter and IPython notebooks
zero-to-jupyterhub-k8s - Helm Chart & Documentation for deploying JupyterHub on Kubernetes
ipython-cells - IPython extension for running code blocks in .py files