Sloppylint
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.
AI-specific anti-pattern linter — detects polyglot syntax bleeding (.forEach, .length, .equals, .nil?) and non-idiomatic structures unique to hallucinating LLMs generating Python code
No foundation model. Sloppylint does not run one, so this criterion does not apply and is excluded from the grade rather than counted against it. It is a pure static analyzer that pattern-matches and AST-parses Python source to flag AI-generated code smells, calling no model and requiring no API key of any kind. 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 If that is out of date, tell us at right of reply.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 →