bokeh

(β˜… 20,430)

Interactive Data Visualization in the browser, from Python

Showing a partial file list β€” download the zip above to see everything.

  • .gitattributes
  • .gitignore
  • .pre-commit-config.yaml
  • LICENSE.txt
  • MANIFEST.in
  • README.md

# Installation Guide

1. Get the code
git clone https://github.com/bokeh/bokeh

Downloads the entire project code from GitHub to your computer.

cd bokeh

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended
Prerequisites
  • Python 3 Python is required to use pip.
pip install bokeh

Installs the package published on PyPI directly β€” no need to clone the source.

βœ… After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. Node.js

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Node.js Node.js must be installed to use npm. The LTS version is recommended.
<img src="https://img.shields.io/npm/dm/%40bokeh/bokehjs?style=for-the-badge&logo=npm&label=NPM&color=D98B43"

Type this command into your terminal and run it.

alt="NPM downloads per month" />

Type this command into your terminal and run it.

βœ… After running the command, open the address shown in the terminal (usually something like http://localhost:3000) in your browser.

Pulled directly from this repo's README.

// repository documentation