jupyter_ascending VS jupyterlab-git

Compare jupyter_ascending vs jupyterlab-git and see what are their differences.

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jupyter_ascending jupyterlab-git
6 7
387 1,395
2.1% 1.1%
4.5 7.7
7 months ago 19 days ago
Python TypeScript
MIT 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_ascending

Posts with mentions or reviews of jupyter_ascending. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-12.

jupyterlab-git

Posts with mentions or reviews of jupyterlab-git. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-19.

What are some alternatives?

When comparing jupyter_ascending and jupyterlab-git you can also consider the following projects:

vim-jukit - Jupyter-Notebook inspired Neovim/Vim Plugin

jupyterlab-spreadsheet-editor - JupyterLab spreadsheet editor for tabular data (e.g. csv, tsv)

jupyter-vim - Make Vim talk to Jupyter kernels

debugger - A visual debugger for Jupyter notebooks, consoles, and source files

vim-ipython-cell - Seamlessly run Python code in IPython from Vim

JupyterLab - JupyterLab computational environment.

magma-nvim - Interact with Jupyter from NeoVim.

jupyterlab-desktop - JupyterLab desktop application, based on Electron.

nvim-ipy - IPython/Jupyter plugin for Neovim

nbdime - Tools for diffing and merging of Jupyter notebooks.

jupytext.vim - Vim plugin for editing Jupyter ipynb files via jupytext

qgrid - An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks