Hello,
That’s a wonderful initiative, really. But, as others already stated, it is not possible to know beforehand whether it’ll develop a community around it. In 2014, 10 years ago, during my post-grad years, I put up a software dubbed GammaRay (GitHub - PauloCarvalhoRJ/gammaray: GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in Apr, 22nd: MCRFSim for Bayesian approach.) and it still doesn’t really have a community. Maybe because geostatistics is a quite small world or it is not that good at all or the main users in the mining/oil industry simply use what those billionaire companies can buy. The main drive behind it is to avoid usage of commercial bundles and to serve as a friendly interface to the sole open-source free geoestatistical software in that time: GSLib. Maybe students in universities in developing contries are using it… who knows. Later, I added non-GSLib algorithms to it and I still use it for data preparation and run experiments on it without spending thousands of dollars in the process.
If you plan to develop a serious Leapfrog-like application, please consider migrating to C++, C# or Java (for GUI applications). Python is all-well but designing complex user interfaces with it is a troublesome endeavour. If you still want to stick to Python, then you might be interested in these two projects: GitHub - GeostatsGuy/GeostatsPy: GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz and Welcome to pyLPM’s documentation! — pyLPM 1 documentation . The latter is pip-installable and is from the mining engineering laboratory where I did my post-graduations.
best,
PC