{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"}],"enrichment":{"capability":"Renders Bokeh visualizations directly within Jupyter notebooks and JupyterLab, enabling interactive plots and dashboards in notebook cells.","skillfed_tags":["jupyter-extension","visualization","interactive-plots"],"use_cases":["Display interactive Bokeh plots in Jupyter notebooks for exploratory data analysis with hover tooltips and zoom controls.","Build notebook-based dashboards combining Bokeh visualizations with Jupyter widgets for data exploration.","Share reproducible analysis notebooks that render Bokeh graphics without requiring separate server deployment.","Integrate Bokeh plots into scientific or research notebooks alongside markdown documentation and code cells."],"what_it_does":"jupyter_bokeh is a JupyterLab extension that integrates Bokeh, a Python visualization library, into Jupyter notebooks. It allows you to create and display interactive Bokeh plots directly in notebook cells, enabling exploration of data through hover tooltips, pan/zoom, and other interactive tools without leaving the notebook environment.\n\nThe extension depends on bokeh and ipywidgets, and works with JupyterLab 3.0 and newer (with pip install) or older versions via separate labextension setup. It is maintained as part of the Bokeh project and tracks JupyterLab releases to ensure compatibility. The package is stable, actively maintained, and supports Python 3.8 through 3.11.","worth_installing":"Yes. Low install friction, active maintenance, permissive license, and no known vulnerabilities. Install if you use Bokeh for visualization and want interactive plots directly in JupyterLab. Ensure your JupyterLab version matches the compatibility table (e.g., JupyterLab 4.0.x pairs with jupyter_bokeh 4.0.0)."},"id":"jupyter-bokeh","links":{"html":"https://skillfed.io/packages/jupyter-bokeh","md":"https://skillfed.io/packages/jupyter-bokeh.md","pypi":"https://pypi.org/project/jupyter-bokeh/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-09","license_spdx":null,"license_treatment":"permissive","name":"jupyter_bokeh","python_support":"supports_current","summary":"A Jupyter extension for rendering Bokeh content."},"popularity":{"monthly_downloads":185301,"position":10013,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"4.1.0"}