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A reference runtime that runs three Python applications on one device, each pinned to a different CPython version (3.11, 3.12, and 3.14), built with uv. Each app installs its own interpreter and its own native dependencies at build time, so version-incompatible dependency sets coexist on a single image. The three apps collaborate over a local NATS broker as a producer → processor → aggregator data pipeline: samples generated on one interpreter are processed on a second and aggregated on a third.
Pin each app to its own CPython via uv python install, shipped inside the app's extension
Contrast that with an app that runs on the device's system Python (3.12, the Yocto build's own interpreter)
Compile native wheels (numpy, scipy) against the correct interpreter and target architecture, no per-package Yocto recipe required
Keep each app's packages isolated in its own directory, so divergent dependency locks never collide
Stream real data through all three interpreters over NATS — the aggregator's pipeline_complete proves the fleet collaborated on one result, not merely that it booted