v0.7.2

Released 2026-05-20 · GitHub Release

Overview

• Faster simulations (~2.7x) with identical output, via an engine upgrade and population caching
• Upgraded epydemix to v1.2.1
• Built-in population data is now cached across requests
• Deployment: Python 3.13 image, configurable PORT, Cloud Run guide

Performance

Simulations are significantly faster, with identical output for a given request and seed. Measured on Google Cloud Run, a year-long V-SEIHR + vaccination run (US population, Nsim=10) completes in ~3.6s end-to-end, about 2.7x faster than v0.7.1. Speedup scales with simulation horizon, compartment count, and Nsim.

Deployment

• The container honors the PORT environment variable (default 8000).
• Base image and project Python bumped to 3.13.
• New Google Cloud Run deployment guide.

Internals

• Upgraded epydemix to v1.2.1, which resolves plain parameter references directly instead of copying the full parameter set each time step (the case our presets hit).
• Built-in populations (e.g. United_States) and contact matrices are now cached in-process instead of re-downloaded on every request. Custom inline populations are unaffected.