Aviation Flight Operations & Crew Scheduling Compliance
A specialized engineering resource for flight operations managers, crew schedulers, compliance teams, and Python automation builders — where published duty-time regulation becomes deterministic, audit-ready code.
What this site covers
Translating FAA Part 117 and EASA Flight Time Limitations into production systems is both a compliance obligation and an engineering challenge. This resource focuses on the gap between regulatory text and executable validation logic: temporal normalization, rolling cumulative limits, rest-period checks, fatigue scoring, and the secure, auditable architecture that ties them together.
Every topic is written for practitioners who ship code. You will find normalized data schemas, timezone-aware Python, asynchronous ingestion pipelines, and the validation guardrails that keep crew pairings legally defensible and operationally resilient — from upstream flight-log parsing all the way to inspection-ready audit logs.
The material is organized into three core areas. Start with the architecture and regulatory mapping — now including side-by-side FAA Part 117 versus EASA FTL scheduling scenarios and a queryable reference layer for the FDP tables, rest minimums, and cumulative caps — then move into the rule engines that evaluate duty time, fatigue, and alerting, and finish with the ingestion layer that feeds them clean, reconciled, validated operational data.
Start here
Hands-on guides from across the core areas that show the full path from regulation to running, audit-ready Python.
How to Map FAR 117 Duty Limits to Database Schemas
Translating the textual complexity of 14 CFR Part 117 into a queryable, auditable database architecture requires moving beyond simple date-time fields and is…
Read the guideMaximum FDP for an Early Morning Report
The exact question this guide answers is one a dual-jurisdiction scheduler faces every rotation build: for a crew member reporting at 05:30 acclimatised time…
Read the guideAutomating 10-Hour Rest Period Validation
The exact task this guide solves is narrow but unforgiving: given a completed duty and the next report time for the same crew member, decide — deterministica…
Read the guideParsing ARINC 424 Flight Logs with Python
The exact task this guide solves is narrow and unforgiving: given a raw ARINC 424 navigation record — a 132-column, delimiter-free line where every field is…
Read the guideExplore the content
Core Architecture & Regulatory Mapping
Translate FAA Part 117 and EASA FTL into version-controlled schemas, duty-time taxonomies, queryable reference tables, dual-jurisdiction comparisons, and secure, audit-ready access boundaries.
- Crew Duty Time Taxonomy Mapping
- EASA FTL Compliance Frameworks
- FAA Part 117 Rule Schema Design
- FAA Part 117 vs EASA FTL Scenario Comparisons
- Regulatory Reference Tables
- System Security & Access Boundaries
Duty Time Validation & Rule Engines
Build deterministic rule engines for flight-time math, UTC/DST edge cases, rolling-window rest checks, fatigue scoring, and tuned, tiered alerting.
- Fatigue Risk Scoring Models
- Flight Time Calculation Algorithms
- Rest Period Compliance Checks
- Threshold Tuning & Alerting
Flight Data Ingestion & System Sync
Ingest and reconcile flight logs, ACARS OOOI messages, crew rosters, and schedule data with validated, idempotent, asynchronous Python pipelines.
- Async Batch Processing Workflows
- Crew Roster API Integration
- Data Schema Validation Rules
- Flight Log Parsing Pipelines