Orbital Intelligence Platform
Know what's happening in orbit
Real-time tracking, analysis, and intelligence for the orbital environment. From satellite positions to collision predictions.
pip install rotastellar-intel
Live tracking visualization
Real-time orbital awareness with AI-powered behavior analysis. Click satellites to explore RotaStellar intelligence features.
Illustrative console with sample data, not a live feed. Analysis shown is derived from public orbital data (TLEs, SGP4 propagation, conjunction screening). For real-time positions, see the Live Tracker.
Platform capabilities
Four integrated products for complete orbital awareness.
Satellite Tracking
14,610 active satellites with real-time positions
AvailableConjunction Analysis
Collision probability and maneuver recommendations
AvailablePattern Analysis
Satellite behavior modeling and anomaly detection
AvailableData APIs
REST APIs for positions, orbits, and events
AvailableSatellite Tracking
14,610 active satellites with real-time positions.
Comprehensive catalog of active satellites with sub-kilometer position accuracy. TLE propagation, real-time updates from multiple data sources, and historical trajectory data.
- Real-time position data
- TLE and state vector formats
- Historical trajectory archive
- Custom object tracking
from rotastellar import OrbitalIntel
client = OrbitalIntel(api_key="...")
# Track the ISS
iss = client.satellite("ISS")
pos = iss.position()
print(f"Lat: {pos.lat}")
print(f"Lon: {pos.lon}")
print(f"Alt: {pos.altitude_km} km")
# Get orbit parameters
orbit = iss.orbit()
print(f"Period: {orbit.period_min} min")Conjunction Analysis
Collision probability and maneuver recommendations.
Automated screening for close approaches with probability of collision estimates. Includes maneuver planning recommendations and what-if analysis for avoidance decisions.
- Automated conjunction screening
- Probability of collision
- Maneuver recommendations
- Real-time alerts
# Get conjunction alerts
alerts = client.conjunctions(
satellite="STARLINK-1234",
threshold_km=1.0,
days_ahead=7
)
for alert in alerts:
print(f"TCA: {alert.tca}")
print(f"Miss distance: {alert.miss_km} km")
print(f"Pc: {alert.probability}")
print(f"Secondary: {alert.secondary.name}")Pattern Analysis
Satellite behavior modeling and anomaly detection.
Machine learning models that establish behavioral baselines and detect anomalies. Identify unexpected maneuvers, orbit changes, and operational patterns across satellite constellations.
- Behavioral baselines
- Anomaly detection
- Maneuver classification
- Constellation analysis
# Detect anomalies
anomalies = client.patterns.anomalies(
satellite="COSMOS-2542",
lookback_days=30
)
for event in anomalies:
print(f"Type: {event.type}")
print(f"Time: {event.timestamp}")
print(f"Confidence: {event.confidence}")
print(f"Details: {event.description}")Data APIs
REST APIs for satellite positions, orbits, and events.
Full programmatic access to all platform data. Well-documented REST endpoints, webhook notifications for real-time events, and bulk data export capabilities.
- REST API with OpenAPI spec
- Webhook notifications
- Bulk data export
- Rate limits up to 100K/day
# Get satellite position
curl https://api.rotastellar.com/v1/satellites/ISS \
-H "Authorization: Bearer $API_KEY"
# Response
{
"id": "25544",
"name": "ISS",
"position": {
"lat": 41.264,
"lon": -95.123,
"altitude_km": 420.5
},
"velocity_km_s": 7.66,
"timestamp": "2026-01-20T12:00:00Z"
}Data sources
We aggregate and validate data from multiple authoritative sources.
| Source | Data Type | Update Frequency | Coverage |
|---|---|---|---|
| Space-Track | TLE, conjunction data | Multiple times daily | Global catalog |
| Commercial providers | High-accuracy ephemeris | Real-time | Active satellites |
| Owner/operator data | Maneuver plans, status | As available | Partner satellites |
| Ground-based sensors | Observation data | Near real-time | Visible passes |
Get Started
Ready for orbital awareness?
Schedule a demo to explore the Orbital Intelligence Platform with our team.