Bokeh Visualization Library
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A Bokeh Visualization Library is a Python interactive visualization library for presentation on modern web browsers.
- See: matplotlib, Datashader, Streamlit.
References
2016a
- http://bokeh.pydata.org/en/latest/
- QUOTE: Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.
2016b
- http://bokeh.pydata.org/en/latest/docs/user_guide/quickstart.html#userguide-quickstart
- QUOTE: … To offer both simplicity and the powerful and flexible features needed for advanced customizations, Bokeh exposes three interface levels to users:
- a low-level bokeh.models interface that provides the most flexibility to application developers.
- an intermediate-level bokeh.plotting interface centered around composing visual glyphs.
- a high-level bokeh.charts interface to build complex statistical plots quickly and simply.
- QUOTE: … To offer both simplicity and the powerful and flexible features needed for advanced customizations, Bokeh exposes three interface levels to users: