www/py-bokeh 2.4.3_4 DragonFly

Interactive Web Plotting for Python

System: DragonFly
Repository: DPorts
Maintainer: [email protected] (as in FreeBSD)
License: BSD3CLAUSE
Categories: python, www
Package size: 8906.8 KiB, 83854.1 KiB installed

Description

Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.

In the other systems

The newest version among them is 3.10.1, as upstream numbers it.

System

Port

Version

Vulnerabilities

Status

Maintainer

Last update

DragonFly

www/py-bokeh

2.4.3_4 behind since 2026-10-19

none known

[email protected]

FreeBSD

www/py-bokeh

3.10.1 newest

none known

[email protected]

2026-10-19

OpenBSD

www/py-bokeh

3.6.3p1 behind since 2026-10-19

no data

The OpenBSD ports mailing-list <[email protected]>

HardenedBSD

www/py-bokeh

2.4.3_7 behind since 2026-10-19

no data

[email protected]

GhostBSD

www/py-bokeh

2.4.3_7 behind since 2026-10-19

no data

[email protected]

Compare across BSDs

Install

Binary package:

pkg install py311-bokeh

From DPorts:

cd /usr/dports/www/py-bokeh && make install clean

Dependency graph

Ports that need it on the left, what it needs to run on the right; at most 8 of each. "Dependencies" below lists them all.

graph LR
  me["www/py-bokeh"]
  u0["science/py-chempy"] --> me
  me --> d0["devel/py-Jinja2"]
  me --> d1["devel/py-packaging"]
  me --> d2["devel/py-python-dateutil"]
  me --> d3["devel/py-pyyaml"]
  me --> d4["devel/py-six"]
  me --> d5["devel/py-typing-extensions"]
  me --> d6["graphics/py-pillow"]
  me --> d7["lang/python311"]
  me -.-> dmore(["2 more"])
  classDef this fill:#ab2b28,color:#ffffff,stroke:#ab2b28
  class me this

Dependencies

Run dependencies 10

Required by 1

science/py-chempy

Configuration

No options to configure.

Service scripts: none

Message after installing

Install the following software to enable extra features:

Jupyter
    Bokeh can display content in classic Jupyter notebooks as well as in
    JupyterLab. Depending on your setup, there may be additional packages or
    Jupyter extensions to install.

NodeJS
    Necessary for Extending Bokeh or for defining CustomJS implementations in
    TypeScript.

NetworkX
    Necessary to use the from_networkx function to generate Bokeh graph
    renderers directly from NetworkX data.

Pandas
    Necessary for the hexbin function. Additionally, some usage is simplified by
    using Pandas e.g. Pandas DataFrames will be converted automatically to Bokeh
    data sources by glyph functions.

psutil
    Necessary to enable detailed memory logging in the Bokeh server.

Selenium, GeckoDriver, Firefox
    Necessary for Exporting Plots to PNG and SVG images.

Sphinx
    Necessary to make use of the bokeh.sphinxext Sphinx extension for including
    Bokeh plots in Sphinx documentation.