3. Data, Science & AI

Orchestrates multi-agent workflows for OpenProse VM, enabling automated task coordination via commands, files, and mentions.

Provides best practices for oracle CLI usage, covering prompt management, file bundling, engine configuration, and session handling in LLM workflows.

Converts text articles into structured JSON dubbing scripts with AI-powered segmentation, emotional analysis, and multi-character recognition for audiobooks and voiceovers.

Processes seismic data including reading, filtering, plotting, and earthquake analysis using ObsPy.

Symbolic finite-difference solver for PDEs that automatically generates optimized code for CPU and GPU execution, enabling efficient wave propagation simulations.

Builds 2D numerical models for landscape evolution, erosion, hydrology, and soil transport processes in geomorphology.

Library for matrix-free linear operators solving large-scale inverse problems in signal processing and geophysics efficiently.

Framework for geophysical forward modeling and inversion, supporting EM, DC, IP, magnetics, and gravity methods.

Computational tool for geophysical modeling and inversion supporting ERT, SRT, GPR, and joint inversions in earth science applications.

High-performance library for reading and writing SEG-Y and Seismic Unix seismic data files with Python bindings for trace and header access.

Toolkit for loading, processing, and analyzing subsurface well data including logs, striplogs, and formation tops using LASIO.

Python library for groundwater time series analysis, aquifer response simulation, and level forecasting using transfer function noise models.

Generates 3D geological models using implicit modeling techniques from surface points and orientations, including faults and folds.

Creates, visualizes, and analyzes geological well logs showing rock types, formations, and core descriptions.

Parses DLIS and LIS well log files to extract data curves and metadata for geoscience analysis.

Processes gravity and magnetic data for geophysical modeling, including terrain corrections and potential field inversions.

Builds 3D geological models with implicit surfaces, incorporating faults, folds, and stratigraphic constraints from structural geology data.

Performs petrophysical calculations including porosity, water saturation, permeability, and lithology from well log data for reservoir evaluation.

Analyzes and visualizes geochemistry data, generating ternary diagrams, spider plots, and REE patterns for compositional data analysis.

Processes and transforms geospatial data for geological modeling tools like GemPy, enabling 3D geological structure creation.

Fetches and caches geoscience datasets with automatic caching, checksum verification, and multiple download sources for efficient data access.

Creates publication-quality 3D visualizations and mesh analyses for geoscience data, including geological models and seismic volumes.

Reads and writes LAS well log files in 1.2 and 2.0 formats for geophysical and petrophysical data analysis.

Processes magnetotelluric data from EDI files, analyzes responses, performs inversions, and visualizes resistivity models.