How to Install `bokeh` in Python

v3.9.0 Data & Science Python >=3.10

Interactive plots and applications in the browser from Python

Install pip install bokeh

What is bokeh?

Interactive plots and applications in the browser from Python

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics and affords high-performance interactivity across large or streaming datasets. Bokeh can help anyone who wants to create interactive plots, dashboards, and data applications quickly and easily.

Consider making a donation if you enjoy using Bokeh and want to support its development.

To install Bokeh and its required dependencies using , enter the following command at a Bash or Windows command prompt:

PyPI page → Author: Bokeh Team

Quick Start

Minimal example to get started with bokeh:

import bokeh

print(bokeh.__version__)

Installation

pip (standard)

pip install bokeh

Virtual environment (recommended)

python -m venv venv
source venv/bin/activate   # Windows: venv\Scripts\activate
pip install bokeh

pip3

pip3 install bokeh

conda

conda install -c conda-forge bokeh

Poetry

poetry add bokeh

Dependencies

Installing bokeh will also install these packages:

Jinja2 contourpy narwhals numpy packaging pillow PyYAML tornado xyzservices

Verify the Installation

After installing, confirm the package is available:

python -c "import bokeh; print(bokeh.__version__)"

If this prints a version number, installation succeeded. If you see a ModuleNotFoundError, see the errors section below.

Installation Errors

Common errors when installing bokeh with pip.

ModuleNotFoundError: No module named 'bokeh'

Cause: The package is not installed in the current Python environment.

Fix: Run pip install bokeh. If using a virtual environment, ensure it is activated first.

ModuleNotFoundError: No module named 'bokeh' (installed but still failing)

Cause: pip installed the package into a different Python than the one running your script.

Fix: Use python -m pip install bokeh to install into the interpreter you are running.

ImportError: cannot import name 'X' from 'bokeh'

Cause: The function or class does not exist in the installed version.

Fix: Check the version with pip show bokeh and upgrade with pip install --upgrade bokeh.

pip: command not found

Cause: pip is not in PATH or Python was not added to PATH during installation.

Fix: Try python -m pip install bokeh. On macOS/Linux try pip3.

PermissionError: [Errno 13] Permission denied

Cause: No write access to the system Python package directory.

Fix: Use a virtual environment, or add --user: pip install --user bokeh

SSL: CERTIFICATE_VERIFY_FAILED

Cause: pip cannot verify PyPI's SSL certificate — common behind corporate proxies.

Fix: Try: pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org bokeh

MemoryError when loading data

Cause: Dataset is too large to fit in RAM.

Fix: Read in chunks, filter columns on load, or consider Polars/Dask for out-of-core processing.

Recent Releases

Version	Released
`3.10.0.dev3`	2026-04-03
`3.10.0.dev2`	2026-03-11
`3.9.0` latest	2026-03-11
`3.9.0rc1`	2026-03-06
`3.10.0.dev1`	2026-02-26

Full release history on PyPI →

Manage bokeh

Upgrade to latest version

pip install --upgrade bokeh

Install a specific version

pip install bokeh==3.9.0

Uninstall

pip uninstall bokeh

Check what is installed

pip show bokeh

Last updated: 2026-04-11 • Data from PyPI

How to Install bokeh in Python