Celery
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.
Distributed task queue for Python. Runs work asynchronously across worker processes, with scheduling, retries and result backends.
No foundation model. Celery does not run one, so this criterion does not apply and is excluded from the grade rather than counted against it. Distributed task queue for processing messages and scheduling background jobs; the official docs describe it as a distributed system to process vast amounts of messages with focus on real-time processing, with no foundation model, inference, or AI feature anywhere in the documented feature set. Reviewed from the vendor’s own documentation: docs.celeryq.dev ↗ If that is out of date, tell us at right of reply.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 →