An interactive visualization library for modern web browsers, enabling creation of versatile, data-rich plots, dashboards, and data applications in Python.
Bokeh
- Python
- 2D-Grafiken, KI und maschinelles Lernen, Datenanalyse
- Interaktionsdesign, Interaktives Design, Software, Software als Dienstleistung (SaaS), Benutzererfahrung (UX), Benutzeroberfläche (UI)
Merkmale:
- 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
Preisgestaltung:
- Kostenlos
- 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.
Am besten geeignet für:
- Creating interactive and web-embeddable visualizations, dashboards, and data-driven applications from Python, particularly for exploring and presenting data.