An interactive visualization library for modern web browsers, enabling creation of versatile, data-rich plots, dashboards, and data applications in Python.
Bokeh
- بايثون
- رسومات ثنائية الأبعاد, الذكاء الاصطناعي والتعلم الآلي, تحليلات البيانات
- التصميم التفاعلي, تصميم تفاعلي, برمجة, البرمجيات كخدمة (SaaS), تجربة المستخدم (UX), واجهة المستخدم (UI)
الميزات:
- 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
التسعير:
- مجاناً
- 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.
الأفضل لـ
- Creating interactive and web-embeddable visualizations, dashboards, and data-driven applications from Python, particularly for exploring and presenting data.