Geostatistics library is a Python library that empowers users in mining, energy, and natural resource sectors to build and automate their geostatistical modeling workflows and solve complex challenges.

Build your customized routines benefits from the Python environment and offers direct access to a wide range of Python libraries. It enables users to create and optimize modeling routines perfectly adapted to their company’s processes. It can be used separately or integrated into your software solutions.

Benefit from premium geostatistics offers the robust and technologically advanced geostatistical algorithms found in Isatis.neo. It enables data loading, data preparation, variographical analysis, interpolation, mineral resource modeling, and uncertainty analysis through simulations.

Find Isatis.neo algorithms uses the same algorithms as Isatis.neo, ensuring that you obtain identical outcomes whether you use the software package or the library, thus facilitating testing. The library also allows for loading and writing data in the Isatis.neo database.

Easily handle big datasets 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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