Aerospace & Defense Data: Airspace Performance, Safety Records, Defense Economics and Orbit Catalogs · Head-to-head
ADS-B Exchange Flight Data vs Launch Library 2 API (Space Devs)
Which aerospace & defense data: airspace performance, safety records, defense economics and orbit catalogs data fits your job: ADS-B Exchange Flight Data, or Launch Library 2 API. API, files, or your warehouse. Daily, weekly, or hourly.
ADS-B Exchange Flight Data
Launch Library 2 API (Space Devs)
Where the fields line up
No shared field names. These two answer different questions.
| Field | ADS-B Exchange Flight Data | Launch Library 2 API |
|---|---|---|
hex | documented | not in this set |
flight | documented | not in this set |
r | documented | not in this set |
t | documented | not in this set |
alt_baro | documented | not in this set |
alt_geom | documented | not in this set |
gs | documented | not in this set |
track | documented | not in this set |
lat | documented | not in this set |
lon | documented | not in this set |
baro_rate | documented | not in this set |
geom_rate | documented | not in this set |
Coverage, side by side
| ADS-B Exchange Flight Data | Launch Library 2 API | |
|---|---|---|
| Geographic | Global wherever receivers listen - thickest over North America, Europe and East Asia, satellite and multilateration filling oceanic gaps | Worldwide by definition - every orbital launch site on Earth, with pad records carrying country and coordinates |
| Temporal | Real-time forward, with readsb history from July 2016, ACAS alerts from April 2021, hi-res traces from February 2022 and flight/operations files from July 2024; backfills up to ten years | 1957 (Sputnik, designator 1957-001) to present, explicitly including scheduled future launches in the same table |
What each contains
They tie on 1 attribute. Pick by fit, not by loyalty.
| ADS-B Exchange Flight Data | Launch Library 2 API | |
|---|---|---|
| Publisher | ADSBExchange, owned by JETNET - operator of one of the largest independent flight-tracking networks | The Space Devs, a volunteer group of space enthusiast developers; successor to the original Launch Library |
| Subject lens | Movement view of aviation: live aircraft state vectors, trajectory traces and daily origin-to-destination operations, unfiltered across military, private and blocked airframes | Event view of spaceflight: orbital launches plus streamed suborbital flights reaching the Karman line, wrapped in agency, astronaut, vehicle, station and docking entity families |
| Geographic coverage | Global wherever receivers listen - thickest over North America, Europe and East Asia, satellite and multilateration filling oceanic gaps | Worldwide by definition - every orbital launch site on Earth, with pad records carrying country and coordinates |
| Temporal coverage | Real-time forward, with readsb history from July 2016, ACAS alerts from April 2021, hi-res traces from February 2022 and flight/operations files from July 2024; backfills up to ten years | 1957 (Sputnik, designator 1957-001) to present, explicitly including scheduled future launches in the same table |
| Detail level | Per-aircraft state vectors at 250 ms to 5 s intervals, per-aircraft-per-day trace files, and one-row-per-flight records once Daily Operations takes over | One record per launch attempt, with related agency, vehicle, pad and astronaut entities joined beside it |
| Documented fields | 27 on the state-vector schema, all verified against live values during the August 2026 review | 16 on the core launch row, definitions verified against the published field convention in the same pass |
| Scale | Over 25,000 contributing receivers; a single 5-second global snapshot holds roughly 15,400 aircraft; archives run multi-terabyte per year | Roughly 7,900+ launch records plus tens of thousands of related agency, astronaut, vehicle and pad entities - small enough to load whole |
| Best for | Live movement analytics, ML training on trajectories, corporate-jet due diligence, defense and OSINT monitoring | Launch-cadence studies, countdown apps, schedule-slip modeling, citable spaceflight history |
What each does better
ADS-B Exchange Flight Data
Continuous motion instead of discrete events. Positions arrive on 250 ms to 5 s intervals with barometric and geometric altitude kept distinct (alt_baro versus alt_geom), climb rates on both references, and type recording which sensor chain won the fix - adsb_icao, mlat, tisb_icao, even satellite adsc over oceanic gaps - so confidence can be weighted by provenance rather than assumed.
The airframes other trackers hide. The unfiltered policy keeps military, private and blocked (PIA/LADD) traffic in the record: the dbFlags bitfield marks military and interesting frames explicitly, and the mil boolean plus ownop owner/operator in the companion aircraft database make tanker orbits and surveillance patrols analyzable, not anecdotal.
Depth under the live feed. Per-aircraft trace files support trajectory work, hi-res 2 Hz traces start February 2022, ACAS alert files begin April 2021, and origin-to-destination flight records run from July 2024 - with backfills reaching up to ten years, enough for cohort studies across a full fleet cycle.
Proof in the captured row. One live frame reads hex 71c392, callsign KAL076, registration HL8392, a Boeing 787-9 at FL360 making 480.5 knots over 60.1046 north, 169.2438 west, NIC 8, RSSI -31.4 dbFS - twenty-plus measured values about one aircraft at one instant.
Launch Library 2 API
Seventy years of citable history. The oldest row is Sputnik on 1957-10-04T19:28:34Z, marked launch_designator 1957-001 and orbital_launch_attempt_count 1 - one record anchoring the moment three independent ways. Roughly 7,900+ launch records follow, each citable by designator instead of folklore, with tens of thousands of related agency, astronaut, vehicle and pad entities beside them.
Future tense in the same table. Scheduled launches land in identical columns, forward-filled: net, window_start, window_end, probability where published, webcast_live when streaming. A pipeline written once reads the whole timeline from Sputnik to next quarter's manifest without special cases.
Whole-corpus scale. At roughly 7,900+ rows the launch history loads entire and spans every era of spaceflight - the rare dataset where full history and today's rows arrive in the same pull.
Where they're equivalent
More than sky-versus-space suggests.
- Both are community-built: one aggregates more than 25,000 hobbyist ADS-B receivers, the other is curated by a volunteer developer group cross-checking against official agency sources.
- Both document their schemas properly - 27 and 16 verified field definitions respectively, checked rather than inferred, a standard met by 85.7 percent of the 1,744 cataloged datasets.
- Both tie every observation to a real-world registry:
hexresolves against registrations and owner/operators;launch_service_providerresolves against a typed government-or-commercial agency table. - Both score 8 out of 10, tied near the top of the 33-record Aerospace & Defense slice, whose average sits at 7.52.
- Neither covers the other's medium: no column on the flight side means orbit; none on the launch side means airspeed.
The verdict
Verdict: sample both - they are not competitors but adjacent layers of the same aerospace picture, and neither substitutes for the other.
Take ADS-B Exchange Flight Data if your question happens below the Karman line and above the runway. Fleet movements, route volumes, jet-traffic due diligence around deal targets, defense and OSINT monitoring of exercises and patrols - anything that needs to know where an aircraft is, was, or how it got there. Persona scoring puts data scientists and developers at relevance 3 of 3 here, investors and journalists at 2.
Developers and competitive-intelligence teams score highest there, with data scientists and journalists close behind.
A build that wants the full aerospace arc - what flies and what gets launched - is the both-of-them case. Start from the ranked best aerospace & defense datasets shortlist or the pooled aerospace defense data hub to see how each sits in the wider slice.
Sample both, pick by fit. See ADS-B Exchange Flight Data · See Launch Library 2 API
Or take both in one feed
Yes - as two layers of one aerospace timeline rather than a join. Their grains never collide: a state vector describes seconds of motion, a launch record describes an event between windows. Stacked, the pair answers questions neither settles alone - which cargo flights clustered around a launch campaign, how air traffic patterns shift near a major spaceport on launch days, or where an aerospace portfolio's operating reality sits between runway and orbit.
Join discipline, not luck: align on time deliberately (epoch-second captures against UTC ISO 8601 event stamps), resolve identifiers through their own registries (ICAO hex against tail numbers on one side, designators and provider IDs on the other), and keep each record normalized to its documented dictionary - 27 fields and 16 - before any crosswalk. Datadory ships both that way, on one cadence: daily, weekly, or hourly, your call. Request a sample of either dataset to watch the rows validate before anyone commits. Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Do the two field dictionaries overlap?
In skeleton only. Each reduces an observation to an identifier, a position-in-context, a timestamp and a status: `hex` versus `id`, latitude/longitude versus pad coordinates, epoch-stamped capture times versus UTC `net` and window bounds, `emergency` flags versus launch `status`. Beyond that shared shape they diverge completely - transponder telemetry has no column that means orbit, and a launch record has none that means ground speed.
Which archive reaches further back?
Launch Library 2 by decades: its oldest row is the first orbital attempt, Sputnik on 1957-10-04, pinned by designator 1957-001. ADS-B Exchange's history starts July 2016, when the readsb archive begins, though subscriber backfills reach up to ten years and hi-res traces run from February 2022. One spans the whole space age; the other spans the modern aircraft-tracking era.
Which dataset updates faster?
ADS-B Exchange at the frame level: live products refresh positions on intervals from 250 ms to 5 s, and a single global snapshot carries roughly 15,400 airborne aircraft. Launch Library 2 moves at mission tempo - rows change when schedules slip or events complete, with `last_updated` stamping each edit. Both are current; only one is continuous.
Can I get both records from Datadory?
Yes - sample both, then take them separately or merged onto one event timeline, delivered daily, weekly, or hourly - your call. Each arrives normalized to its documented dictionary (27 fields for the flight feed, 16 for the launch catalog) with sample rows attached for validation, alongside the rest of the aerospace & defense catalog.