Bokeh vs. Matplotlib vs. Photographer's companion vs. VBScript Comparison Chart

Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.

This application will help you to abandon the automatic mode of your cameras that does not do everything and control everything. For more experienced photographers, it can simplify the settings by doing the calculations for you. In any case, it is not a magic application to make beautiful pictures every time, but it will allow you to find a basic setting to refine to get the best picture you think. It is aimed at professional or amateur photographers (basic knowledge is required) and offers the tools to calculate the alternative/equivalent exposure (manages the ND filter and long exposures). Calculate the depth of field, hyperfocal, and simulation of Bokeh. Calculate the field of view. Calculate the shutter speed to freeze the motion of a subject. Capture/Photograph sunrise/sunset, the golden hour, and the blue hour. Get the position of the sun, time of sunrise/sunset, golden hours, blue hours, and monthly calendar.