nteract VS jupyter

Compare nteract vs jupyter and see what are their differences.

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nteract jupyter
1 13
6,151 14,731
0.4% 0.5%
7.4 7.2
4 months ago 2 days ago
TypeScript 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.

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.

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.

What are some alternatives?

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

commuter - 🚎 Notebook sharing hub

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

ipyflex - A WYSIWYG layout editor for Jupyter widgets

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

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]

vscode-python - Python extension for Visual Studio Code

ijavascript - IJavascript is a javascript kernel for the Jupyter notebook

quokka - Repository for Quokka.js questions and issues

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.

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

notebook - Jupyter Interactive Notebook