Angular Material vs. Bokeh vs. Kendo UI vs. TeeChart 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.

Full 100% Delphi source code is available to you as an option. Discover the user-friendly editor dialogs, available both at design time and also run-time, for almost every component and sub-component. Steema provides products and services aimed at meeting your highest expectations on getting the best value for your money. We have been innovating for TeeChart components since 1995 and endeavor to continue to bring you the best of new features in the future. You can also use TeeChart (sourcecode version only) with FMXLinux to port/build your charting applications to/for Linux with Embarcadero Delphi 10.2 Tokyo and up. TeeChart will scale and fit to any screen size. If you're building dashboards you can place multiple, resizeable charts on each dashboard panel. FireMonkey framework will handle most of the variations for the different platforms. See examples showing how to use TeeChart for FireMonkey apps.