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Evaluation framework for composing tasks, model interactions, scoring and inspectable logs.

Declarative data catalogs and access abstractions for scientific workflows.

Array transformations and automatic differentiation for examining compilation, vectorization and functional numerical programs.

Function-result caching, persistence, and parallel execution helpers used in scientific Python workflows.

Text representations and synchronization for Jupyter notebooks.

Neural-network APIs for examining model behavior across declared computation backends.

Reference descriptions that expose existing scientific data files through chunked-array interfaces.

Grid and process-model components for Earth-surface dynamics simulations.

Task and model interfaces for reproducible language-model evaluation with inspectable prompting and scoring choices.

Spatial weights, geometry-related utilities, and data structures for spatial analysis.

Audio and music-signal analysis tools, including transforms and feature extraction.

Survival analysis estimators and regression models for censored time-to-event data.