htcie Complete

Heat Transfer Correlation Intelligence Engine. Deterministic, API-first correlation selection for single-phase convection — evaluates 13 correlations, ranks them with a reproducible scoring model, and reports confidence based on inter-method spread. Full traceability. Validated against Incropera 7th ed.

Python Pydantic heat transfer engineering traceability
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pyGOTM Complete

Python + Numba reimplementation of the General Ocean Turbulence Model (GOTM). Compiled single-column 1D ocean and lake physics — mean flow, turbulence closures (k-ε, k-ω, GLS, Mellor-Yamada), air-sea exchange, five ice thermodynamics models (including Winton three-layer sea ice and Holland-Jenkins ice-shelf basal melt), and FABM/pyfabm biogeochemistry coupling. Reads GOTM 6.x YAML configurations natively. Validates NetCDF output against Fortran GOTM 6.0.7 reference using a Fréchet-distance pipeline — all 22 official cases execute, default validation set (couette, channel, entrainment) passes. CLI, Python API, and warm JSON-RPC stdin/stdout daemon. No Fortran compiler required.

Python Numba ocean turbulence NetCDF FABM validation scientific computing
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Aquirae In Development

Aquirae (Aquatic Integrated Reproducible Analysis Environment) — a local-first, reproducible workbench for aquatic-system modeling. It is the application layer above an open-source simulation engine: the first engine is the pyGOTM 1D water-column model, and the architecture is built to host additional aquatic engines later. Aquirae turns a raw engine into a usable product: reproducibility-by-construction via hash-pinned manifests that record inputs, code versions, environment, and outputs; a SQLite provenance DAG linking every artifact from raw data to published figure; a portable project-bundle format (YAML + Parquet + NetCDF + Markdown) suitable for Zenodo archival; an auto-collected citation graph; and a NiceGUI browser UI with three vantage points (Operator / Modeler / Explorer) — Time-Depth Cinematic, Scenario Comparison, Intake-Depth Advisory, Provenance Inspector, Observation Browser, YAML Editor, and Report Builder. Runs entirely on-machine, no cloud account required. The engine is consumed across a strict process boundary (subprocess CLI and stdin/stdout JSON-RPC, never a linked import), keeping the AGPL-3.0 application cleanly separated from the GPL-2.0 engine while both share one conda environment. Currently pre-alpha (v0.1.0): package layout, agent contracts, and process-boundary stubs.

Python NiceGUI FastAPI SQLite reproducibility provenance aquatic modeling