{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering"},{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/2"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"},{"label":"Office/Business","url":"https://skillfed.io/packages/category/office-business"},{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"},{"label":"Financial","url":"https://skillfed.io/packages/category/office-business-financial"}],"enrichment":{"capability":"Bokeh is an interactive visualization library that creates browser-based plots, dashboards, and data applications from Python code, with support for large and streaming datasets.","skillfed_tags":["interactive-visualization","web-dashboard","data-exploration"],"use_cases":["Build interactive dashboards for real-time data monitoring and business intelligence applications.","Create exploratory data analysis tools where users can interact with plots to zoom, pan, and select subsets.","Embed interactive visualizations in web applications using Tornado or other Python web frameworks.","Generate standalone HTML reports with interactive plots that can be shared without requiring a server.","Visualize large datasets with linked plots and cross-filtering for multi-dimensional analysis."],"what_it_does":"Bokeh is a Python library for creating interactive, browser-based visualizations. It generates standalone HTML files or integrates with web frameworks to deliver plots and dashboards that respond to user interaction\u2014panning, zooming, selection, and hover tooltips\u2014without requiring JavaScript knowledge. The library handles both static plots and streaming data, making it suitable for exploratory analysis, real-time monitoring, and embedded applications.\n\nThe package depends on Jinja2 for templating, NumPy and contourpy for numerical operations, Pillow for image handling, PyYAML for configuration, Tornado for web serving, and xyzservices for map tile integration. It targets modern Python versions and is maintained as a production-stable project with active development and institutional support.","worth_installing":"Yes. Bokeh is a mature, actively maintained library with no known vulnerabilities, low install friction, and broad applicability across data science, finance, healthcare, and research. Its permissive license and institutional backing make it a reliable choice for interactive visualization projects. Install it if you need browser-based interactivity."},"id":"bokeh","links":{"html":"https://skillfed.io/packages/bokeh","md":"https://skillfed.io/packages/bokeh.md","pypi":"https://pypi.org/project/bokeh/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-25","license_spdx":"BSD-3-Clause","license_treatment":"permissive","name":"bokeh","python_support":"supports_current","summary":"Interactive plots and applications in the browser from Python"},"popularity":{"monthly_downloads":12119700,"position":1340,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"3.9.2"}