As Python’s role in processing and interpreting geophysical data expands, the need for a Python-based tool tailored for visualizing geophysical data has become increasingly critical. In response, the Computational Interpretation Group Visualization tool (CIGVis) — a fully open-source Python tool optimized for researchers and licensed under the Massachusetts Institute of Technology License — has been developed. It specializes in the real-time interactive visualization of multi-dimensional geophysical data, including volumetric data of geophysical properties, meshes of geologic objects (e.g., faults, horizons, and geobodies), points and tubes of well-log data. CIGVis enables users to interact with the data through operations such as rotation, panning, magnifying, and dragging slices. It also supports a multicanvas functionality, allowing a simultaneous visualization across multiple subcanvases with a unified camera perspective. Its ease of use allows for effective visualization with just a few lines of code across all major operating systems and extends to desktop and Jupyter environments, facilitating code execution in various settings. The core functionalities of CIGVis are exemplified using standard geophysical data sets, such as the F3 data set.

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