jupyter VS vscode-python

Compare jupyter vs vscode-python and see what are their differences.

jupyter

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

vscode-python

Python extension for Visual Studio Code (by microsoft)
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jupyter vscode-python
13 77
14,727 4,213
0.5% 1.0%
7.5 9.6
about 1 month ago 5 days ago
Python TypeScript
BSD 3-clause "New" or "Revised" License MIT 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.

vscode-python

Posts with mentions or reviews of vscode-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-27.

What are some alternatives?

When comparing jupyter and vscode-python you can also consider the following projects:

nteract - πŸ“˜ The interactive computing suite for you! ✨

quokka - Repository for Quokka.js questions and issues

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

openvscode-server - Run upstream VS Code on a remote machine with access through a modern web browser from any device, anywhere.

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

Bracket-Pair-Colorizer-2 - Bracket Colorizer Extension for VSCode

dark - Darklang main repo, including language, backend, and infra

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.

Poetry - Python packaging and dependency management made easy

notebook - Jupyter Interactive Notebook

prism.el - Disperse Lisp forms (and other languages) into a spectrum of colors by depth