Performance Optimization

Use this checklist when simulations are slow, flaky, or resource-heavy.

Quick checklist

• Tick rate: keep timer.dt as coarse as your use case allows; avoid over-simulating.

• Polling frequency: reduce adapter polling intervals unless your tests require tight loops.

• Logs: avoid noisy logs in per-tick code paths; capture only what helps debug scenarios.

• Snapshots: prefer restoring snapshots over re-initializing complex models from scratch.

• Extensions: keep custom Python logic lean; avoid blocking I/O in run() loops.

Related:

• Timer

• Polling

• Snapshots (Core)