Benefit from all the power of Isatis.neo and the enormous capabilities of the Python environment to build and automate your geostatistical modeling workflows.
Isatis.py is a Geovariances Python package for geostatistics that empowers geoscientists in mining, energy, and natural resource sectors to solve their modeling challenges.
Elevate your modeling workflows with Geovariances premium geostatistics
Isatis.py offers the robust and technologically advanced geostatistical algorithms found in Isatis.neo. This ensures that you obtain identical outcomes whether you use the software package or the library, thus facilitating testing. Isatis.py enables data loading and preparation, variographical analysis, interpolation, estimation with kriging, mineral resource modeling using Uniform Conditioning, and uncertainty analysis through conditional simulations. The library also allows loading and writing data directly from and in the Isatis.neo database.
Increase user efficiency
Isatis.py benefits from the Python ecosystem and gives direct access to a vast range of Python libraries, including data science, artificial intelligence, and display functions. Developers can build and automate custom solutions and address specific requirements, even complex, more efficiently. Isatis.py uses a common language, making workflows easy to maintain and upgrade. It can be used separately in Python and Jupyter environments or integrated into software solutions on both Windows and Linux operating systems.
Easily handle big datasets
Isatis.py is parallelized and multithreaded, which makes it a particularly high-performance library that quickly manages datasets and models with millions of cells.
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