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Data and pipeline versioning tools for reproducible computational projects.

Nested sampling and dynamic nested sampling for Bayesian evidence and posterior exploration.

A numerical solver for convex conic optimization problems.

Ensemble Markov-chain Monte Carlo sampling for probability distributions.

Exploratory spatial statistics for autocorrelation and spatial pattern analysis.

Code-generation evaluation tooling and expanded testing resources for studying test coverage and result reproducibility.

Evaluation metric interfaces for examining aggregation semantics and reproducibility across batches.

Common filesystem interfaces and utilities for Python data-access libraries.

Finite-volume partial differential equation solving for transport and related numerical models.

Attention-kernel implementations for comparing memory-efficient computation with a directly specified attention reference.

Neural-network tooling built around JAX for investigating explicit state, transformations and model composition.

Geospatial tabular data operations that combine labeled tables and geometry.