![]() ![]() There are no 3D graphing features available. It is compatible with IPython shells, Python scripts, and Jupyter notebooks. The dashboard is served using the Bokeh server. The hover tool displays tooltips associated with individual glyphs. It is compatible with many programming languages. It is great for beginners but only Python can be used. Only Python programming language can be used. Matplotlib is a quick and straightforward tool for creating visualizations within Python. Makes it easier to modify and export your plot.īokeh is the ideal tool to build dashboards and charts quickly with interactivity. ![]() It is difficult to modify/export your plot. Styling graphs with bokeh is a tedious process. Plotting using Plotly requires only a few lines of code. ![]() It has various output options for the plotted graphs.Įach additional plot feature requires an additional required code line of code. The functionalities can be extended by using third-party packages. It has many interactive components like zoom, pan, search a coordinate, etc. Used to create interactive web-based visualizations and even web applications. It is capable of handling geographical, scientific, statistical, and financial data. It is one of the most simple ways to plot data in Python. Plots made with Bokeh are flexible, interactive, and shareable. Software Engineering Interview Questionsĭifference between Bokeh vs Matplotlib vs Plotlyīokeh is a data visualization library that is used by many data science professionals.Top 10 System Design Interview Questions and Answers.Top 20 Puzzles Commonly Asked During SDE Interviews.Commonly Asked Data Structure Interview Questions.Top 10 algorithms in Interview Questions.Top 20 Dynamic Programming Interview Questions. ![]()
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