Stanza
An open-source developer tool that converts natural language descriptions into a stateful mock REST API. It supports full CRUD operations and simulated human latency, and uses MongoDB to persist state data.
Timeline (last 90 days)
Stanza is an open-source project shared by Aaditya Dubey on dev.to.
Stanza positions itself as "instant stateful mock APIs from natural language prompts", that is, generating stateful mock APIs from natural language prompts.
Stanza replaces hand-written interface contracts with natural language descriptions, with the model understanding the intent and then generating the corresponding API behavior.
The controllability of Stanza's generated results depends on prompt quality, and complex business rules may still need manual supplementation.
Stanza is better suited to scenarios such as frontend interface contracts not yet being finalized, demos or hackathons, teaching, and prototype validation.
Stanza is not well suited to replacing production-grade backend services, because mock state is usually in-process or simply persisted, which falls short of real database transactions and concurrency control.
The author submitted the Stanza project in the second week of the Hacktoberfest open-source AI challenge, in the Side Hustle category.
Stanza's database layer uses MongoDB Atlas, adopting a single-document collection strategy and leveraging TTL indexes (expiresAt) for automatic expiration and cleanup of temporary mock endpoints.
The lifespan of each mock endpoint can range from a few minutes to 48 hours.
Stanza is a production-ready open-source developer tool that instantly turns natural language descriptions into usable, stateful mock REST API endpoints.
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All Facts (18)
Stanza is an open-source project shared by Aaditya Dubey on dev.to.
50%UnverifiedStanza positions itself as "instant stateful mock APIs from natural language prompts", that is, generating stateful mock APIs from natural language prompts.
50%UnverifiedStanza replaces hand-written interface contracts with natural language descriptions, with the model understanding the intent and then generating the corresponding API behavior.
50%UnverifiedThe controllability of Stanza's generated results depends on prompt quality, and complex business rules may still need manual supplementation.
50%UnverifiedStanza is better suited to scenarios such as frontend interface contracts not yet being finalized, demos or hackathons, teaching, and prototype validation.
50%UnverifiedStanza is not well suited to replacing production-grade backend services, because mock state is usually in-process or simply persisted, which falls short of real database transactions and concurrency control.
50%UnverifiedStanza uses open-weight models (such as qwen/qwen3.8-27b) for inference via Groq and enforces JSON output mode to extract precise schema structures and record counts from natural language prompts.
50%UnverifiedStanza's database layer uses MongoDB Atlas, adopting a single-document collection strategy and leveraging TTL indexes (expiresAt) for automatic expiration and cleanup of temporary mock endpoints.
50%UnverifiedThe lifespan of each mock endpoint can range from a few minutes to 48 hours.
50%UnverifiedThe Stanza project is deployed on Vercel, and the code is open source under the AGPL-3.0 license.
50%UnverifiedStanza enhances robustness with a local fallback heuristic layer that generates schemas based on keyword matching or default templates, acting as a fallback when external AI calls fail.
50%UnverifiedStanza is a production-ready open-source developer tool that instantly turns natural language descriptions into usable, stateful mock REST API endpoints.
50%UnverifiedStanza supports full CRUD operations (GET, POST, PUT, DELETE).
50%UnverifiedStanza allows simulating artificial latency (e.g. ?delay=5000) and custom status codes (e.g. ?status=500) via query parameters.
50%UnverifiedThe data Stanza generates is not a one-time snapshot but can be continuously interacted with, and the data changes with CRUD operations.
50%UnverifiedStanza combines @faker-js/faker and a recursive schema generator to populate deeply nested JSON structures, sub-objects and arrays.
50%UnverifiedStanza stores the generated data in a MongoDB collection, so state is consistent across requests.
50%UnverifiedThe author submitted the Stanza project in the second week of the Hacktoberfest open-source AI challenge, in the Side Hustle category.
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