Skip to main content

📊 Soothing pastel theme for JupyterLab.

Project description

Logo
Catppuccin for JupyterLab

Previews

🌻 Latte
🪴 Frappé
🌺 Macchiato
🌿 Mocha

Usage

  1. Install the JupyterLab extension using pip or conda:
    • pip install catppuccin-jupyterlab or
    • conda install -c conda-forge catppuccin-jupyterlab.
  2. Start/restart JupyterLab (jupyter lab). If it is already opened, you can reload it by executing "Reset Application State" in the Command Palette (Ctrl + Shift + C).
  3. Go to the Settings > Theme menu option and choose the desired flavor.

It supports both JupyterLab v3 and v4.

Customization

Brand Color

It is possible to choose any of the Catppucin colors as your "brand" color. The default is mauve, but you can choose your favorite to make it your way!

You can specify the colors by going to the Settings > Settings Editor (or Ctrl + ,), going to the Theme - Catppuccin section, then choosing your desired color in the lists of the dropdown menu.

Alternatively, you can specify the json with the settings:

{
    "brandColor": "mauve",
    "accentColor": "green"
}

[!NOTE] Besides the "brand" color it is also possible to set the "accent" color (default is green), but it rarely appears in the JupyterLab interface.

💝 Thanks to

 

Copyright © 2021-present Catppuccin Org

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

catppuccin_jupyterlab-0.2.4.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

catppuccin_jupyterlab-0.2.4-py3-none-any.whl (21.7 kB view details)

Uploaded Python 3

File details

Details for the file catppuccin_jupyterlab-0.2.4.tar.gz.

File metadata

  • Download URL: catppuccin_jupyterlab-0.2.4.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.1.dev0+g94f810c.d20240510 CPython/3.12.4

File hashes

Hashes for catppuccin_jupyterlab-0.2.4.tar.gz
Algorithm Hash digest
SHA256 6bdb0129c220296b81b8ef82e29c61b8213c13a82a86849d8ded2b41f9a29024
MD5 9d11b7d630284c63faf459bc39022749
BLAKE2b-256 d9be6d273956a87b542ad3e3e7def265ff564308059c4d15917808c9526ba341

See more details on using hashes here.

File details

Details for the file catppuccin_jupyterlab-0.2.4-py3-none-any.whl.

File metadata

File hashes

Hashes for catppuccin_jupyterlab-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 643839b1c46e93e497beb95e741d40dd585fc4e489a44c2c6ce89a869a9cef67
MD5 014baaa5612480a657721a561dbd2954
BLAKE2b-256 0edaa844d1c2962342ba0743aa699b67bbe373511cafae5269a3d907ad73418b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page