jupyter VS nteract

Compare jupyter vs nteract and see what are their differences.

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jupyter nteract
13 1
14,727 6,151
0.5% 0.4%
7.5 7.4
about 1 month ago 4 months ago
Python TypeScript
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.

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.

nteract

Posts with mentions or reviews of nteract. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-20.

What are some alternatives?

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

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

commuter - 🚎 Notebook sharing hub

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

ipyflex - A WYSIWYG layout editor for Jupyter widgets

vscode-python - Python extension for Visual Studio Code

jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol [Moved to: https://github.com/jupyter-lsp/jupyterlab-lsp]

quokka - Repository for Quokka.js questions and issues

ijavascript - IJavascript is a javascript kernel for the Jupyter notebook

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.

notebook - Jupyter Interactive Notebook

jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol