pluggy
This entry runs no foundation model. Every finding below is quoted to the vendor’s own document, or marked not disclosed where the vendor publishes nothing.
Hook-calling plugin system used by pytest — allows plugins to intercept and modify core system behaviours via functional decorators, enabling dynamic intervention without tight coupling
No foundation model. pluggy does not run one, so this criterion does not apply and is excluded from the grade rather than counted against it. pluggy is the hook specification and plugin management library underlying pytest, providing function hooking so host programs become pluggable; it calls no model. Established from the product’s own public documentation and what it does. If that is out of date, tell us at right of reply.
Not yet assessed. We publish a sovereignty position only where the vendor documents one — we do not infer it from a domain or a company name.
Vannus publishes a nine-dimension trust framework — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →