Audit-ready maintenance log pipelines, AD/SB correlation, and FAA/EASA compliance automation
for MRO engineers and Python automation builders.

🌐 Read it live → www.aviationlogbook.org

aviationlogbook.org is a working engineering reference for teams that treat aircraft maintenance documentation as a regulated data product — not paperwork. It covers the full path from a scanned, coffee-stained logbook page to a cryptographically verifiable, regulator-ready ledger entry, with production-grade, type-hinted Python you can lift straight into an MRO pipeline.

Every page is grounded in airworthiness reality: deterministic parsing, OCR confidence routing, strict schema validation, immutable audit trails, and explicit boundaries between FAA, EASA, and OEM regimes. Regulatory citations are exact — 14 CFR § 43.9 / § 43.11, Part-145 § 145.219, AC 120-78B, EASA Part-M M.A.305/M.A.710, EASA Form 1, FAA Form 8130-3, ATA iSpec 2200 — never paraphrased.

• MRO engineers building or hardening logbook and parts-traceability systems
• Aviation compliance teams mapping pipeline outputs to FAA / EASA recordkeeping obligations
• Python automation builders who need runnable, audit-safe reference implementations
• Fleet managers turning fragmented records into a machine-verifiable airworthiness ledger

The site is organised into two in-depth reference areas, each with detailed implementation guides:

Deterministic Python for turning raw documents into validated records:

• PDF & scanned-log OCR processing, confidence scoring, and human-in-the-loop fallbacks
• Regex + spaCy NER field extraction (ATA chapters, part & serial numbers)
• Cross-OEM data normalization (Airbus vs Boeing schemes, flight hours / cycles / landings)
• Async batch processing — backpressure, rate limiting, checkpoint/resume
• Schema validation, dead-letter queues, and end-to-end data lineage & provenance

Reference architecture for compliant, traceable logbook systems:

• FAA Part-145 recordkeeping and EASA Part-M compliance mapping
• Canonical MRO data schema design and component-lifecycle modeling
• Append-only, hash-chained parts-traceability ledgers (life-limited parts back to birth records)
• AD/SB correlation, ARC-ready audit trails, and regulatory change tracking
• Secure API gateways — mutual TLS, token rotation, and rate-limiting for high-volume uploads

• Runnable, not hand-wavy. Every guide ships complete Python with type hints, Pydantic v2 / dataclasses, and structured logging.
• Compliance-first. Each technique is tied to the specific rule it satisfies, so the pipeline itself becomes evidence of compliance.
• Fast & accessible. A static site (Eleventy → Cloudflare) that scores 99–100 on Lighthouse mobile, passes WCAG 2 AA, and carries hand-authored SVG diagrams and structured data on every page.

Built with Eleventy, hand-authored inline SVG diagrams, and structured data (JSON-LD TechArticle + BreadcrumbList). Deployed on Cloudflare Workers.

npm install
npm run build     # build the static site into _site/
npm start         # local dev server on :8080
npm run deploy    # build + deploy to Cloudflare

Spotted an inaccuracy in a regulatory citation, or have a pipeline pattern worth documenting? Open an issue on this repository — corrections that keep the guidance airworthy are always welcome.

Explore the full reference at www.aviationlogbook.org →