An interactive visualization library for modern web browsers, enabling creation of versatile, data-rich plots, dashboards, and data applications in Python.
Bokeh
- Pitone
- Grafica 2D, intelligenza artificiale e apprendimento automatico, Analisi dei dati
- Design dell'interazione, Design interattivo, Software, Software come servizio (SaaS), Esperienza utente (UX), Interfaccia utente (UI)
Caratteristiche:
- 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
Prezzi:
- Gratuito
- 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.
Ideale per:
- Creating interactive and web-embeddable visualizations, dashboards, and data-driven applications from Python, particularly for exploring and presenting data.