nbgrader VS kubespawner

Compare nbgrader vs kubespawner and see what are their differences.

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nbgrader kubespawner
1 2
1,255 521
0.4% 0.8%
7.1 8.6
9 days ago 9 days ago
Python Python
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
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.

nbgrader

Posts with mentions or reviews of nbgrader. We have used some of these posts to build our list of alternatives and similar projects.
  • Teams for Education
    1 project | news.ycombinator.com | 2 Mar 2021
    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

kubespawner

Posts with mentions or reviews of kubespawner. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-24.

What are some alternatives?

When comparing nbgrader and kubespawner you can also consider the following projects:

jupyterhub-deploy-docker - Reference deployment of JupyterHub with docker

docker-stacks - Ready-to-run Docker images containing Jupyter applications

Jupyter Notebook (IPython) - Multi-user server for Jupyter notebooks

the-littlest-jupyterhub - Simple JupyterHub distribution for 1-100 users on a single server

v-mode - 🌻 An Emacs major mode for the V programming language.

match - :crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch

sparkmagic - Jupyter magics and kernels for working with remote Spark clusters

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

pangeo-binder - Pangeo + Binder (dev repo for a binder/pangeo fusion concept)

zero-to-jupyterhub-k8s - Helm Chart & Documentation for deploying JupyterHub on Kubernetes