CTFd VS the-littlest-jupyterhub

Compare CTFd vs the-littlest-jupyterhub 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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CTFd the-littlest-jupyterhub
15 2
5,327 989
1.3% 1.3%
8.8 8.7
9 days ago about 1 month ago
Python Python
Apache License 2.0 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.

CTFd

Posts with mentions or reviews of CTFd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-24.

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.

What are some alternatives?

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

RootTheBox - A Game of Hackers (CTF Scoreboard & Game Manager)

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

Docker Compose - Define and run multi-container applications with Docker

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

awesome-ctf - A curated list of CTF frameworks, libraries, resources and softwares

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

ctf - Ctf solutions from p4 team

nbgrader - A system for assigning and grading notebooks

snoop - Snoop — инструмент разведки на основе открытых данных (OSINT world)

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

Awesome-DevSecOps-Platforms - A curated list of awesome security platforms,including CTF/Security Response Center/Bug Tracker and so on.

python - Official Python client library for kubernetes