JupyterHub is a shared development environment, accessible via a web browser, that runs as a service on a server. It offers the comfort of a locally installed development environment, which is accessible from any browser. Thanks to plug-ins, it supports a wide range of programming languages, including Python and R - very common for data analysis - spatial, statistical and more. Compared to a local installation of a development environment on a PC, running on a server handles faster processing of a larger amount of data, which is made possible by a much higher hardware specification of the server - more disk space, more computing cores and more RAM. In addition, it is possible to directly use the data archive of spatial and satellite data available on Lesprojekt cloud. JupyterHub interactively displays the result of running all or part of the code, including graphical visualization. It is not a problem to display the entire satellite scene, process several scenes at once and perform their analysis. All extensions and frameworks that the given programming language running in the JupyterHub environment offer are supported.
