{"id":182842,"date":"2025-02-15T19:24:52","date_gmt":"2025-02-15T18:24:52","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/bokeh-extensions-en\/"},"modified":"2025-03-08T01:46:14","modified_gmt":"2025-03-08T00:46:14","slug":"bokeh-extensions-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/bokeh-extensions-en\/","title":{"rendered":"Bokeh Extensions"},"content":{"rendered":"<p>Description: Bokeh extensions are additional components that enhance the functionality of applications developed with Bokeh, a popular data visualization library in Python. These extensions allow developers to integrate advanced and customized features into their visualizations, facilitating the creation of interactive and dynamic graphs. Extensions can include visualization tools, widgets, and functionalities that are not available in the base library. For example, they may offer support for 3D graphics, interactive maps, or integration with other JavaScript libraries. Bokeh&#8217;s modularity allows these extensions to be easily installed and used, making them an attractive option for those looking to customize their visualization applications. Additionally, the Bokeh community has contributed a variety of extensions that address specific needs, further enriching the ecosystem of this tool. In summary, Bokeh extensions are essential for those who want to take their visualizations to the next level, providing tools and functionalities that enhance the user experience and interactivity of the presented data.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: Bokeh extensions are additional components that enhance the functionality of applications developed with Bokeh, a popular data visualization library in Python. These extensions allow developers to integrate advanced and customized features into their visualizations, facilitating the creation of interactive and dynamic graphs. Extensions can include visualization tools, widgets, and functionalities that are not available [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[],"glossary-tags":[],"glossary-languages":[],"class_list":["post-182842","glossary","type-glossary","status-publish","hentry"],"post_title":"Bokeh Extensions ","post_content":"Description: Bokeh extensions are additional components that enhance the functionality of applications developed with Bokeh, a popular data visualization library in Python. These extensions allow developers to integrate advanced and customized features into their visualizations, facilitating the creation of interactive and dynamic graphs. Extensions can include visualization tools, widgets, and functionalities that are not available in the base library. For example, they may offer support for 3D graphics, interactive maps, or integration with other JavaScript libraries. Bokeh's modularity allows these extensions to be easily installed and used, making them an attractive option for those looking to customize their visualization applications. Additionally, the Bokeh community has contributed a variety of extensions that address specific needs, further enriching the ecosystem of this tool. 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