kubespawner
nbgrader
| kubespawner | nbgrader | |
|---|---|---|
| 2 | 1 | |
| 521 | 1,255 | |
| 0.8% | 0.4% | |
| 8.6 | 7.1 | |
| 4 days ago | 14 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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
nbgrader
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Teams for Education
We are using nbgrader[0] to handle the labs of our students, while we are happy with nbgrader, from the videos, Teams for Education look so much nicer to use.
I also agree that using tools centered on coding offer a really nice experience for both students and teachers.
[0] -- https://github.com/jupyter/nbgrader
What are some alternatives?
jupyterhub-deploy-docker - Reference deployment of JupyterHub with docker
Jupyter Notebook (IPython) - Multi-user server for Jupyter notebooks
docker-stacks - Ready-to-run Docker images containing Jupyter applications
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
sparkmagic - Jupyter magics and kernels for working with remote Spark clusters
zero-to-jupyterhub-k8s - Helm Chart & Documentation for deploying JupyterHub on Kubernetes
pangeo-binder - Pangeo + Binder (dev repo for a binder/pangeo fusion concept)