Migrating to Jupyter Lab from Jupyter Notebook

Jupyter Lab provides a whole load of advantages when compared to Jupyter Notebooks (the complete list can be accessed here). So, I recently migrated to Jupyter Lab. Migrating from one IDE/Text Editor to another is always a wobbly ride. But, there are some minor changes that can smooth this transition and they are as follows:

Adjust the Text Size

After extensively using Jupyter Notebooks, the text size in Lab might feel very small. So, change the User Settings by using the shortcut Ctrl+,. Navigate to the Notebook option and add the following code under Application -> User Preference.

    "codeCellConfig": {
        "fontFamily": "DejaVu Sans Mono",
        "fontSize": 14,
        "lineHeight": 1.2,
        "lineNumbers": true,
        "lineWrap": "wordWrapColumn",
        "wordWrapColumn": 100,
    "markdownCellConfig": {
        "fontFamily": "M+ 2p",
        "fontSize": 16,
        "lineHeight": 1.2,
    "rawCellConfig": {
        "fontFamily": "M+ 2p",
        "fontSize": 16,
        "lineHeight": 1.2,

This will ensure that the text size and line wrapping is active. Additionally, I have activated the display of line numbers using lineNumbers: true, this can be deactivated by removing the line or changing it to false.

Activating Sublime Key-bindings in Lab

As emphasized in my previous post, the Sublime key-bindings can be activated in Lab by using the jupyterlab_sublime extension in Lab.

The following code can be used to install the extension for JupyterLab (version<3):

jupyter labextension install @ryantam626/jupyterlab_sublime

Edit: July 13, 2021
The following code can be used to install the extension for JupyterLab (version >=3):

pip install jupyterlab_sublime

Equivalent extensions for other text editors can be found here:

Install the Plotly plugin for Lab

Plotly is arguably one of the best plotting libraries in Python. In order to visualize the plots in Lab, we need to install the Plotly extension.

The following code installs the extension (the widget installation is optional):

jupyter labextension install jupyterlab-plotly@4.14.1
jupyter labextension install @jupyter-widgets/jupyterlab-manager plotlywidget@4.14.1

Well, we have Lab up and running with all the required basics now! 🥳
You can add any additional extensions as required from the extensions tab.


  1. Analytics Vidhya
  2. Lab Extension: Subime Text Keybinding
  3. Lab Extension: Vim Keybinding
  4. Lab Extension: Emacs Keybinding
  5. Lab Extension: Plotly