Open Source Aviation Maps

Mark Litwintschik· Jun 3, 2026 · 10:22 AM UTC ·9 min read · 0 reactions · 0 comments · 27 views

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TL;DR · WeSearch summary

The article discusses the development of open-source aviation maps using data from the FAA's National Airspace System Resource. Jesse McGraw has created two GitHub repositories that convert FAA data feeds into SQLite3 databases for use in QGIS. The article also details the technical setup and tools used for data analysis and map rendering.

Key facts

▪The FAA provides freely available data feeds for aviation charts.
▪Jesse McGraw has been working on GitHub repositories for 12 years to convert FAA data into usable formats.
▪QGIS is a popular application for rendering maps, with around 15 million launches monthly.

How this story was covered

2 outlets in our directory ran this story, first to last over 2 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1

▪ Open Source Appsec Scanner — GitHub

About this source

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Original article

Marksblogg · Mark Litwintschik

Read full at Marksblogg →

Story provenance

Source · retrieval · rights · ranking — open for full record

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Record

Original publisher	Marksblogg
Canonical URL	https://tech.marksblogg.com/aviation-maps.html
Publication time	Wed, 03 Jun 2026 10:22:44 +0000
Retrieval time	2026-06-03T10:42:02.244Z
Last seen	2026-06-03T10:42:02.244Z
Headline source	Publisher (no WeSearch rewrite)
Excerpt source	publisher body
Excerpt method	First ~120 words (~800 chars) of extracted publisher body, fair-use limited.
Summary	WeSearch · cerebras-chat (WeSearch summarizer)
Summary source text	contentText
Citation coverage	Summary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster	h3cJ3TE9-FqA · 2 stories
Cluster logic	Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reason	Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visit	Yes — open original
Substitutes article?	No — link-out required for full text

Rights status (four layers)

Publisher-declared

No publisher-confirmed rights record for this source yet.

Machine-readable

No source-specific machine-readable restriction detected beyond the public feed.

WeSearch interpretation

WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.

Unknown

Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing	May the item be indexed (stored, ranked, made findable)?	Allowed
Snippet	May a short excerpt of the publisher's text be shown?	Allowed
AI summary	May WeSearch generate its own short summary of the article?	Limited
Retrieval / RAG	May the content be exposed for third-party retrieval-augmented generation?	Not asserted
Model training	May the content be used to train AI models?	Not asserted
Commercial reuse	May the content be reused commercially?	Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

Open Source Aviation Maps The US Federal Aviation Administration (FAA) maintains a National Airspace System Resource (NASR) system. This system produces data feeds that are freely available and have been used by firms such as Jeppesen for producing aviation charts. Jesse McGraw has been working on two GitHub repositories for the past 12 years that convert these feeds into SQLite3 databases that can then be rendered in QGIS. His first repository contains a QGIS workspace as well as a BASH script that downloads SVGs, CSVs, Natural Earth Shapefiles from a Dropbox link. His second repository contains an ETL codebase and is made up of 4,039 lines of Python. Its earliest commit was in 2014 and has received updates as recently as three weeks ago.

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Excerpt limited to ~120 words for fair-use compliance. The full article is at Marksblogg.

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