the-littlest-jupyterhub VS nbgrader

Compare the-littlest-jupyterhub vs nbgrader and see what are their differences.

the-littlest-jupyterhub

Simple JupyterHub distribution for 1-100 users on a single server (by jupyterhub)
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the-littlest-jupyterhub nbgrader
2 1
985 1,255
1.5% 0.7%
8.5 7.1
17 days ago 12 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.

the-littlest-jupyterhub

Posts with mentions or reviews of the-littlest-jupyterhub. We have used some of these posts to build our list of alternatives and similar projects.

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

What are some alternatives?

When comparing the-littlest-jupyterhub and nbgrader you can also consider the following projects:

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

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

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

30-seconds-of-python-code - Short Python code snippets for all your development needs

coding-problems - Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

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

python - Official Python client library for kubernetes

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

CTFd - CTFs as you need them

kubespawner - Kubernetes spawner for JupyterHub