Airports Navaids
C+ 72 completedPipeline State
completedPipeline Metadata
AI Prompt
Catalog Information
This project provides a reusable backend platform that ingests FAA aeronautical reference data and exposes it via a REST API for multiple downstream projects.
Description
The mikehickey2__airports_navaids project is a reusable backend platform that ingests publicly available FAA aeronautical reference data (airports and navaids) and stores it in a Supabase-hosted Postgres database. It exposes the data via a REST API, supporting multiple downstream projects requiring authoritative lookup of identifiers and coordinates.
الوصف
هذا المشروع يقدم منصة خلفية قابلة للتكرار تستهلك البيانات المرجعية الجوية الفيدرالية (ملاحة جوية وملاحة) وتخزنه في قاعدة بيانات بوسكوبس المضيفة، وتبينها عبر API REST، داعياً إلى مشاريع متعددة تتطلب البحث الموثوق في التعريفات والتنسيقات.
Novelty
5/10Tags
Claude Models
Quality Score
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (100% test-to-source ratio)
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- 121 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
Security & Health
Languages
Frameworks
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Airports and Navaids on Supabase with API Access | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Data/ML | data-ml | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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