/jupyterlab-vim

Vim notebook cell bindings for JupyterLab

Primary LanguageTypeScriptMIT LicenseMIT

jupyterlab-vim

Community fork of https://github.com/jwkvam/jupyterlab-vim updated for jupyterlab 2, 3 and 4

Extension status Github Actions Status Binder npm version npm downloads PyPI Conda Version

Notebook cell vim bindings

jlabvim

Modes

Like vim, Jupyterlab has a distinction between edit mode and command mode. Jupyterlab Command mode is when the cursor is not in a specific cell, and edit mode when typing in a cell.

This extension combines the Jupyterlab (Edit and Command) modes with the standard vim modes (Normal, Insert, Visual). So the set of modes now looks like:

  1. Jupyterlab Command Mode
  2. Jupyterlab Edit Mode
    • Insert
    • Normal
    • Visual

Install

pip install jupyterlab-vim

or with conda/mamba:

mamba install -c conda-forge jupyterlab_vim

Key Bindings

To learn how to modify key bindings see the modify-keybinds.md file.

Please note that all keys are lowercase unless Shift is explicitly indicated. For example, Y, Y is two lowercase ys, Shift-Y, Y is one uppercase Y followed by a lowercase y.

Shortcuts this extension introduces:

Vim Ex commands

Command Action
:w[rite] Save Notebook
:q[uit] Enter Jupyter command mode

Vim command bindings

Chord Action
Ctrl-O, U Undo Cell Action
- Split Cell at Cursor
Ctrl-O, - Split Cell at Cursor
Ctrl-O, D Cut Cell
Ctrl-O, Y Copy Cell
Ctrl-O, P Paste Cell
Ctrl-Shift-J Extend Marked Cells Below
Ctrl-Shift-K Extend Marked Cells Above
Ctrl-O, O Insert Cell Below
Ctrl-O, Ctrl-O Insert Cell Above
Ctrl-J Select Cell Below
Ctrl-K Select Cell Above
Ctrl-O, G Select First Cell
Ctrl-O, Ctrl-G Select Last Cell
Ctrl-E Move Cell Down
Ctrl-Y Move Cell Up
Ctrl-O, Z, Z Center Cell
Ctrl-G Show Tooltip
Command/Ctrl-1 Code Cell Mode
Command/Ctrl-2 Markdown Cell Mode
Command/Ctrl-3 Raw Cell Mode
Shift-Escape Leave Vim Mode
Escape, Ctrl-[ Exit Vim Insert Mode

Jupyter command bindings

Chord Action
G, G Select First Cell
Shift-G Select Last Cell
D, D Delete Cell
Y, Y Yank (Copy) Cell
P Paste Cell
Shift-P Paste Cell Above
O Insert Cell
Shift-O Insert Cell Above
U Undo Cell Action
Ctrl-E Move Cells Down
Ctrl-Y Move Cells Up
Z, Z Center Cell
Z, C Hide Code Cell
Z, O Show Code Cell
Z, M Hide All Code Cells
Z, R Show All Code Cells

Special Thanks

From @jwkvam:

I want to acknowledge Alisue and his excellent work creating vim bindings for Jupyter notebooks. I hope this extension can meet the high bar his work set.

@jkwvam is the original author of this extension - the original version can be seen here. When that version was not updated it was updated first by @axelfahy and then moved to this community organization.

Contributing

Contributions and feedback are most welcome!

Development install

Note: You will need NodeJS to build the extension package. To install with conda do:

conda install -c conda-forge nodejs

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the jupyterlab_vim directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm run build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Uninstall

pip uninstall jupyterlab_vim