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DummyJSON vs Snowfakery

DummyJSON

dummyjson.com

Snowfakery

snowfakery.readthedocs.io

Side by side

FigureDummyJSONSnowfakery
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published11
Spec score · Test Data Generation Tools7.8 (#9)7.9 (#8)
PurposeDummyJSON provides fake REST API data for frontend development, building, and testing without backend setup.Snowfakery generates unique, random fake data with relationships between tables from YAML recipe files.

Plans

DummyJSON

  • DummyJSONFree

DummyJSON pricing →

Snowfakery

  • SnowfakeryFree

Snowfakery pricing →

In their own words

DummyJSON

DummyJSON is a free hosted REST API that supplies fake JSON data for frontend development, building, and testing without backend setup. Its listed resources include products, carts, users, posts, comments, quotes, todos, recipes, images, and authentication. Requests can use limit, skip, and select parameters; a limit of zero returns all items. A delay parameter simulates responses from 0 to 5000 milliseconds. Developers can create a hosted mock endpoint with their own JSON response and select GET, POST, PUT, PATCH, or DELETE. These endpoints last 90 days and accept response bodies up to 300 KB. The webhook inspector captures incoming requests for debugging and supports all HTTP methods; endpoints remain live for 24 hours, store up to 100 requests, and accept payloads up to 300 KB. Authorization, cookie, and x-api-key headers are removed before storage. Additional tools include a TOTP generator for base32 secrets and otpauth URIs, plus authentication examples for login, access and refresh tokens, and authenticated resource access. Product changes simulate requests but do not alter stored server data.

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Snowfakery

Snowfakery generates synthetic data from YAML recipe files, including records linked across tables. Recipes can create names, addresses, text, URLs, random numbers and other values using Faker-based functions, and specify how many related objects to generate. Output can go to files in JSON, TXT, CSV, SQL, DOT, SVG, SVGZ, JPEG and PostScript formats; some diagram formats require Graphviz. Snowfakery can also write to databases accessible through SQLAlchemy, including SQLite, and generate records in Salesforce when used through CumulusCI. Python applications can embed it with its generate_data function, and Python plugins and providers can extend its functions and Faker capabilities. Strict mode checks a recipe before generation, while validate-only mode checks it without generating data. It is free, open source and self-hosted. The documentation says database output creates new tables, with generated columns as text, and that SQLite is the only database included in its SQL dataset URL test suite. The repository was archived on September 18, 2026, and is read-only.

Visit snowfakery.readthedocs.io