Bokeh vs. Bokeh vs. MicroPython vs. TouchRetouch 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.

Remove undesired objects from either plain or more complex backgrounds (bokeh, gradient, patterned, etc.) with equally good results. With TouchRetouch, clear images are only a click away. Single-click a blemish to have it automatically selected and erased. Click a line or drag along its part — and the app will do the rest. It will accurately select the entire line and make it disappear in a flash. Use Clone Stamp to solve complex content removal tasks. The tool does quite well when it comes to removing objects bordering other objects. Make basic color and tonal adjustments to your photos to ensure that your final edited pieces look the way they should. Improve the composition of your photos through cropping. You only have to drag a photo frame in the direction needed or use one of the offered standard proportions.