attrs
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.
Python classes without boilerplate — auto-generates __init__, __repr__, __eq__, and validators, creating the pure Value Objects and Entities that form the truthful domain model foundation
No foundation model. attrs does not run one, so this criterion does not apply and is excluded from the grade rather than counted against it. Python library that generates dunder methods and class boilerplate such as init, comparison, and hashing; it is a pure code- generation-at-class-definition utility with no model or inference involved. Reviewed from the vendor’s own documentation: attrs.org ↗ If that is out of date, tell us at right of reply.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 →