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SpaceX Launch History
Credit: NASA
Part of a dataset collection on Hugging Face.
Dataset description
Complete record of every SpaceX launch from spacex.com, including mission descriptions, pre/post-launch timelines, and photo galleries. Covers Falcon 1, Falcon 9, Falcon Heavy, and Starship missions.
The data is sourced from the official SpaceX content API and organized into three tables that can be joined on the slug field: launches (one row per mission with all metadata), timelines (countdown/deployment events), and carousel (mission photos with captions).
SpaceX has transformed the economics of spaceflight through first-stage reuse, achieving rapid launch cadence with Falcon 9 and developing Starship as the next-generation fully reusable vehicle.
This dataset is suitable for tabular classification tasks.
Schema
| Column | Type | Description | Sample | Null % |
|---|---|---|---|---|
id |
int64 | Internal SpaceX CMS (Strapi) identifier; opaque string, stable within the CMS | 3894 | 0.0% |
document_id |
str | CMS document reference used for CMS versioning; opaque, not meaningful for analysis | wpxil3jrhww03hb1vy1rhk07 | 0.0% |
title |
str | Human-readable mission name from spacex.com (e.g. 'Starlink Mission', 'CRS-25', 'Intuitive Machines-1') | Starlink Mission | 0.0% |
slug |
str | URL slug used as the primary key and join field across all three tables (e.g. 'sl-10-22'); unique per mission | sl-17-48 | 0.0% |
mission_status |
str | Mission lifecycle state: 'final' = completed, 'upcoming' = not yet launched, 'in-progress' = currently executing | final | 0.0% |
mission_type |
str | Mission category: 'starlink', 'commercialSatellite', 'resupply', 'nssl', 'hsf', 'rideshare', 'science', 'starship' | starlink | 1.1% |
vehicle |
str | Launch vehicle variant: 'Falcon 9', 'Falcon Heavy', 'Starship', or 'Falcon 1' (retired) | Falcon 9 | 0.0% |
launch_site |
str | Launch complex and geographic location (e.g. 'SLC-40, Florida', 'LC-39A, Florida', 'SLC-4E, California') | SLC-4E, California | 0.0% |
launch_date |
datetime64[us] | UTC calendar date of launch (YYYY-MM-DD); null for upcoming missions without a confirmed date | 2026-07-10 00:00:00 | 0.7% |
launch_time |
str | UTC launch time in HH:MM:SS format; null for unconfirmed upcoming launches | 20:01:00 | 0.6% |
return_site |
str | First-stage landing site (e.g. 'LZ-1', 'JRTI' droneship, 'OCISLY' droneship); null if no landing attempted | Droneship | 0.0% |
return_date_time |
str | Timestamp of first-stage return/landing (if available); null for expendable flights | June 2026 | 99.4% |
end_date |
datetime64[us] | Mission completion date (e.g. Dragon splashdown, satellite handoff); null if ongoing or not recorded | 2026-05-26 00:00:00 | 95.1% |
end_time |
str | Mission completion time (UTC HH:MM:SS); null if not recorded | 08:11:00 | 95.6% |
direct_to_cell |
bool | True for Starlink Direct-to-Cell missions (satellites with cellular connectivity capability) | False | 0.0% |
is_live |
bool | True if the mission is currently streaming live; typically False in archived data | False | 0.0% |
description |
str | Full plaintext mission description sourced from spacex.com (HTML stripped); null for missions without a published description | On Friday, July 10 at 8:01 p.m. PT, F... | 3.0% |
astronauts |
str | JSON array of crew member data (name, title, image) for crewed missions; null for uncrewed flights | [{"id": 1249, "name": "Jessica Meir "... | 97.1% |
webcast_id |
str | Video identifier for the official launch webcast; null if no webcast was published | 2070196276939936230 | 10.4% |
webcast_platform |
str | Streaming platform hosting the webcast (e.g. 'x.com', 'youtube'); null if no webcast | x.com | 15.0% |
follow_dragon_enabled |
object | True if real-time Dragon capsule tracking was available for this mission; null for non-Dragon missions | False | 3.0% |
launch_datetime |
datetime64[us] | Combined UTC launch datetime (date + time); null if launch_time is not available | 2026-07-10 20:01:00 | 0.7% |
launch_year |
Int64 | Calendar year of launch derived from launch_date; useful for time-series grouping; null if launch_date is null | 2026 | 0.7% |
success |
bool | True if mission_status == 'final' (mission completed); False for upcoming or in-progress | True | 0.0% |
has_landing |
bool | True if return_site is non-null, indicating a first-stage landing was recorded | True | 0.0% |
Quick stats
- 701 total missions (695 completed, 5 upcoming)
- Vehicles: Falcon 9 (665), Starship (19), Falcon Heavy (12), Falcon 1 (5)
- Top mission types: starlink (409), commercialSatellite (120), resupply (40), nssl (39), rideshare (23)
- 701 missions with landing data
- 680 missions with descriptions
- 4,287 timeline events, 345 carousel photos
- SpaceX totals: 675 launches, 636 landings, 598 reflights
Usage
from datasets import load_dataset
ds = load_dataset("juliensimon/spacex-launches", split="train")
df = ds.to_pandas()
from datasets import load_dataset
# Load main launches table
launches = load_dataset("juliensimon/spacex-launches", "launches", split="train")
df = launches.to_pandas()
# Falcon 9 missions
f9 = df[df["vehicle"] == "Falcon 9"]
print(f"{len(f9):,} Falcon 9 launches")
# Launches per year
import matplotlib.pyplot as plt
df.groupby("launch_year").size().plot(kind="bar", title="SpaceX Launches per Year")
plt.xlabel("Year")
plt.ylabel("Launch Count")
plt.show()
# Load timelines and join
timelines = load_dataset("juliensimon/spacex-launches", "timelines", split="train")
tl = timelines.to_pandas()
# Post-launch events for a specific mission
events = tl[(tl["slug"] == "sl-10-22") & (tl["phase"] == "post_launch")]
print(events[["event_time", "description"]])
Data source
https://www.spacex.com/launches
Update schedule
Daily incremental updates via GitHub Actions
Related datasets
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About the author
Created by Julien Simon — AI Operating Partner at Fortino Capital. Part of the Space Datasets collection.
Citation
@dataset{spacex_launches,
title = {SpaceX Launch History},
author = {juliensimon},
year = {2026},
url = {https://huggingface.co/datasets/juliensimon/spacex-launches},
publisher = {Hugging Face}
}
License
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