ITACA

Integrated Toolkit for Aerospace Computation and Analysis

From data to wisdom.

import itaca as itc

ITACA is a Python library for rigorous engineering data management, analysis, and computation, with a primary focus on aerospace applications. It manages multidimensional experimental and numerical datasets (wind tunnel campaigns, CFD post-processing, flight-test data, engineering computations) with mandatory provenance, automatic GUM-compliant uncertainty propagation including covariance, origin tags for every value, and publication-quality plotting.

Status

Pre-release. The milestone M0 foundation (release v0.1.0) is implemented and test-covered: loading in all modes, inspection and diagnostics, structural operations, two-component GUM uncertainty propagation with covariance, string-equation derivation, explicit combination, exports, and the .itc native format with state-hash revalidation. The SRS (document 0.1.1) is versioned in docs/srs/. Releases follow the incremental roadmap in the SRS Chapter 10: each milestone ships on PyPI with a Zenodo DOI. See examples/ for a complete synthetic walkthrough.

Design record

• docs/srs/: the SRS LaTeX sources, the authoritative reference for what ITACA must do and how it is built. First workspace-tracked version: document 0.1.0, 2026-07-21.
• docs/DECISIONS.md: architectural decisions DD-01 to DD-22 with long-form rationale.
• docs/OPEN_QUESTIONS.md: design questions OQ-01 to OQ-18 with resolutions.

Core convictions

1. Data management before analysis: a result is only as trustworthy as the pipeline that produced it.
2. Provenance is mandatory: every dataset knows where it came from, what was done to it, by whom, and when.
3. Fail fast and loud: ambiguity is an error, silent fallbacks are defects.
4. Uncertainty is native: two-component GUM propagation with covariance, not an afterthought.
5. Test-driven, coverage at or above 90 percent, minimal API surface, NumPy-only core.

License and citation

MIT License (see LICENSE). Citation metadata lives in CITATION.cff; tagged releases will be mirrored on Zenodo with a DOI. A software paper (JOSS or SoftwareX) is planned after the API stabilizes.

Author

Geovana Neves, aerospace engineer (aeropropulsive integration and wind tunnel testing), ITA / TU Delft.