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Bokeh vs Matplotlib: What are the differences?
Developers describe Bokeh as "An interactive visualization library *". It is an interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or streaming datasets. It can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications. On the other hand, *Matplotlib** is detailed as "A plotting library for the Python programming language". It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
Bokeh and Matplotlib can be primarily classified as "Charting Libraries" tools.
According to the StackShare community, Matplotlib has a broader approval, being mentioned in 10 company stacks & 19 developers stacks; compared to Bokeh, which is listed in 4 company stacks and 7 developer stacks.
Pros of Bokeh
- Beautiful Interactive charts in seconds11
Pros of Matplotlib
- The standard Swiss Army Knife of plotting10
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Cons of Bokeh
Cons of Matplotlib
- Lots of code5