New SDKs now available for Python, Node.js, and Rust Try now

Build for Space

Four SDKs for satellite tracking, orbital computing, and distributed AI across Earth and space infrastructure.

Demo API Key — Try instantly, no signup
rs_demo_rotastellar2026

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SDK Packages

Available for Python, Node.js, and Rust

Core SDK

Authentication, base types, and API client. Foundation for all other packages.

01
pip install rotastellar
from rotastellar import RotaStellarClient

client = RotaStellarClient(api_key="rs_demo_...")
sat = client.satellites.get("25544")  # ISS
print(f"{sat.name}: {sat.position.lat:.2f}°")

Orbital Intelligence

Track 10,000+ satellites. Predict conjunctions. Detect orbital anomalies and maneuvers.

02
pip install rotastellar-intel
from rotastellar_intel import ConjunctionAnalyzer

analyzer = ConjunctionAnalyzer(client)
risks = analyzer.predict(satellite_id="25544",
                         hours_ahead=72)
for r in risks:
    print(f"{r.target}: {r.probability:.2%}")

Planning Tools

Feasibility analysis, thermal modeling, power budgets, and latency simulation for orbital workloads.

03
pip install rotastellar-compute
from rotastellar_compute import FeasibilityAnalyzer

analyzer = FeasibilityAnalyzer(client)
result = analyzer.analyze(
    workload={"type": "inference", "gpu": "A100"},
    orbit={"altitude_km": 550, "inclination": 53}
)
print(f"Feasible: {result.feasible}")

Distributed Compute

Federated learning across satellites. Model partitioning for intermittent connectivity. Mesh routing.

04
pip install rotastellar-distributed
from rotastellar_distributed import FederatedClient

fed = FederatedClient(client, constellation="starlink")
fed.register_model(model, aggregation="fedavg")
fed.train(rounds=10, compression="topk")
print(f"Global accuracy: {fed.metrics.accuracy}")

Also available for:

Node.js: npm install @rotastellar/sdk Rust: cargo add rotastellar

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