jupyter VS quokka

Compare jupyter vs quokka and see what are their differences.

jupyter

Jupyter metapackage for installation, docs and chat (by jupyter)

quokka

Repository for Quokka.js questions and issues (by wallabyjs)
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jupyter quokka
13 31
14,735 1,167
0.2% 1.6%
7.2 1.8
7 days ago over 2 years ago
Python
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.

jupyter

Posts with mentions or reviews of jupyter. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-24.

quokka

Posts with mentions or reviews of quokka. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-19.

What are some alternatives?

When comparing jupyter and quokka you can also consider the following projects:

nteract - 📘 The interactive computing suite for you! ✨

RunJS - RunJS is a JavaScript playground for macOS, Windows and Linux. Write code with instant feedback and access to Node.js and browser APIs.

cookiecutter-data-science - A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

JS-Interpreter - A sandboxed JavaScript interpreter in JavaScript.

pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

vscode-python - Python extension for Visual Studio Code

gtoolkit - Glamorous Toolkit is the Moldable Development environment. It empowers you to make systems explainable through experiences tailored for each problem.

Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

typescript-notebook - Run JavaScript and TypeScript in node.js within VS Code notebooks with excellent support for debugging, tensorflowjs visulizations, plotly, danfojs, etc

notebook - Jupyter Interactive Notebook

infernu - Type inference and checking for a safer JavaScript.