Once installed, you can start creating your first Bokeh plot using the following code:
user wants a long article about Bokeh 2.3.3. I need to provide comprehensive coverage including official resources, documentation, release notes, features, installation guides, and usage examples. Following the plan, I'll start with Round One operations. search results provide some initial leads. I need to gather more detailed information. I'll open the relevant pages. initial search results provide a good foundation. I'll now conduct deeper research as planned, starting with round two searches for advanced topics. search results for advanced topics are in. Now I need to conduct deeper research to find content for each section of the article. I'll start with code examples for installation and basic plotting. search results for code examples are in. Now I need to conduct deeper research for the remaining sections: security, troubleshooting, performance, and best practices. search results for security, troubleshooting, performance, and best practices are in. Now I need to incorporate information from the Bokeh 2.3.3 documentation for definitions and concepts. I'll search for "bokeh 2.3.3 api reference" and "bokeh 2.3.3 user guide". I have gathered a substantial amount of information from various sources. I will structure the article to cover all the key aspects requested, including installation, core features, enhancements, bug fixes, performance, security, troubleshooting, use cases, and community resources. I will cite the sources appropriately. Unlocking Interactive Data Visualization: A Deep Dive into Bokeh 2.3.3
Bokeh 2.3.3 also includes several enhancements and bug fixes. Some of the notable enhancements include:
user wants a long article about "bokeh 2.3.3". I need to provide comprehensive information. I'll follow the search plan outlined in the hint. For Round One, I need to search for the official documentation, release notes, and migration guide for version 2.3.3. I'll also search for key features, installation, and usage guides. I'll use the specified search terms. search results for Round One have provided some initial links. For Round Two, I need to open the specific pages that contain the most relevant and detailed information for the article. I will open the official documentation page, the PyPI page, the conda-forge page, the JSPM page, the GitHub page, and any relevant Discourse discussions. initial search results have provided some key information. I'll now perform a second round of searches to gather more comprehensive details for the article. This includes searching for bug fixes, compatibility, benchmarks, security, alternatives, and future plans. search results provide a good basis for an article. I'll structure it with an introduction, overview of Bokeh 2.3.3, key features, installation, bug fixes, performance, security, compatibility, comparison with alternatives, and future directions. I'll cite relevant sources. Now I'll write the article.okeh 2.3.3, released in July 2021, stands as a stable and significant release in the Bokeh visualization library's history. As a patch release, it focused on reliability and usability, addressing specific bugs and regressions that affected the user experience. This article serves as a comprehensive guide to Bokeh 2.3.3, exploring its core features, installation process, key fixes, performance aspects, security considerations, and its place within the broader Python visualization ecosystem. bokeh 2.3.3
output_file("my_plot.html", title="My First Bokeh Plot")
# Remove the default hover tool and add a custom one p.add_tools(HoverTool(tooltips=[("(x,y)", "($x, $y)")]))
A regression was identified where serving static images (like PNGs) in a Div widget on Windows broke after Bokeh 2.3.3. Users reported that reverting to 2.3.3 resolved the problem, indicating a version-specific issue related to how path handling or the Tornado server behaved on Windows. Always check your version's migration guide when upgrading for changes that might impact file serving logic. Once installed, you can start creating your first
This security flaw, tracked as CVE-2026-21883 , could allow for Cross-Site WebSocket Hijacking (CSWSH) in a deployed Bokeh server instance. An attacker could potentially gain unauthorized access to sensitive data or manipulate visualizations by exploiting the flawed hostname validation logic in WebSocket connections.
Let's build a small but complete example that showcases the power of Bokeh 2.3.3: an interactive stock price viewer with a linked table and hover tool.
Version 2.3.3 contains the finalized structural patterns of the 2.x era. This was right before the major architectural updates introduced in Bokeh 3.0. search results provide some initial leads
output_file() : Saves the generated plot as a standalone HTML file on your local disk.
# Create a sample dataset x = [1, 2, 3, 4, 5] y = [6, 7, 2, 4, 5]
: Resolved an issue where Column layouts ignored the scrollable CSS class and fixed a layout regression specifically affecting Panel dashboards.
You can verify that the installation was successful by running the following Python snippet:
import bokeh print(bokeh.__version__)