An interactive visualization library for modern web browsers, enabling creation of versatile, data-rich plots, dashboards, and data applications in Python.
Bokeh
- Pitón
- Gráficos 2D, IA y aprendizaje automático, Análisis de datos
- Diseño de interacción, Diseño interactivo, Software, Software como servicio (SaaS), Experiencia de usuario (UX), Interfaz de usuario (UI)
Características:
- Interactive plots (zooming, panning, selection), streaming data visualization, web-based dashboards, various chart types (lines, scatters, bars, heatmaps, etc.), custom JavaScript integration, Bokeh server for building complex interactive applications, widgets
Precios:
- Gratis
- Highly interactive visualizations, suitable for web deployment, handles large datasets and streaming data well with Bokeh server, flexible and customizable, no JavaScript needed for many use cases.
- Can have a steeper learning curve than simpler plotting libraries like Matplotlib for basic static plots, interactivity primarily targets web browsers, complex apps might require understanding of Bokeh server concepts.
Ideal para:
- Creating interactive and web-embeddable visualizations, dashboards, and data-driven applications from Python, particularly for exploring and presenting data.