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Planning Tools

Status: Early Access — Request API key
Planning Tools help you evaluate the feasibility of orbital compute deployments before committing resources. Answer critical questions about thermal management, latency, power, and cost.

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Capabilities

Feasibility Analysis

Evaluate whether your workload is suitable for orbital compute

Thermal Simulation

Model heat rejection and thermal cycles in orbit

Latency Simulation

Predict network latency based on orbital geometry

Power Budgeting

Plan power generation and consumption across orbit

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Quick Start

from rotastellar import RotaStellarClient

client = RotaStellarClient(api_key="rs_...")

# Comprehensive feasibility analysis
result = client.planning.analyze(
    workload="ai_inference",
    compute_tflops=100,
    storage_tb=10,
    bandwidth_gbps=1
)

print(f"Recommendation: {result.recommendation}")
print(f"Optimal orbit: {result.orbit}")
print(f"Monthly cost: ${result.cost_monthly}")
print(f"Power required: {result.power_kw} kW")

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Workflow

A typical planning workflow:

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Orbit Options

Orbit TypeAltitudePeriodUse Cases
LEO300-600 km90-100 minLow latency, Earth observation
MEO2,000-35,000 km2-24 hrNavigation, regional coverage
GEO35,786 km24 hrFixed coverage, broadcasting
HEOVariableVariablePolar coverage, specific regions

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Next Steps

Feasibility Analysis

Start with a comprehensive feasibility check

API Reference

View the full API specification