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scenario-generator

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A general-purpose stochastic simulation framework for timeline-based systems. Models outcomes driven by historical or synthetic data sequences, probabilistic variation, and defined failure states. Useful for finance, homesteading, livestock cycles, solar/battery resilience, and other sequential-risk domains.

  • Updated Nov 25, 2025
  • Python

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