How to create custom bokeh widgets

Custom widgets empower you to extend Bokeh’s functionality beyond built-in models by writing small TypeScript/JavaScript components that integrate seamlessly with Python. This guide walks through setting up your development environment, building a widget, packaging it, and deploying to Bokeh server or standalone documents.

How to Scale Bokeh Applications for Production

Scaling Bokeh applications to support many concurrent users and large data workloads requires robust architectural patterns: multi-process servers, load balancing for WebSockets, container orchestration, and autoscaling. This guide consolidates production strategies and best practices to ensure your Bokeh apps remain responsive and reliable under heavy traffic.

How to Identify Memory Issues in Bokeh Applications

Memory issues in Bokeh applications can manifest as browser crashes, slow rendering, server instability, or gradual RAM consumption growth—especially when using Jupyter notebooks, large datasets, or complex interactive dashboards. This comprehensive guide provides actionable techniques for identifying, diagnosing, and resolving memory problems using proven Python profiling tools and Bokeh-specific debugging strategies.

How to optimize bokeh memory usage

Bokeh is a powerful Python library for interactive data visualization, but apps at scale can suffer from memory leaks and excessive RAM usage—especially when used with Holoviews, Panel, Datashader, large dataframes, or custom session logic. This article provides actionable techniques for professional developers to minimize Bokeh server memory consumption, grounded in real-world debugging and best-practice Continue reading