Skip to content
SPECIFICTION
Get listed

DummyJSON vs MOSTLY AI

DummyJSON

dummyjson.com

MOSTLY AI

mostly.ai

Side by side

FigureDummyJSONMOSTLY AI
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published11
Spec score · Test Data Generation Tools7.8 (#9)7.7 (#12)

Plans

DummyJSON

  • DummyJSONFree

DummyJSON pricing →

MOSTLY AI

  • FreeFree

MOSTLY AI 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.

Visit dummyjson.com

MOSTLY AI

MOSTLY AI is a data intelligence platform for accessing production data, generating synthetic, mock and simulated data, and analyzing data. Its assistant lets users request Python code in natural language and run it for analysis. The open-source Synthetic Data SDK supports local generation and uses the Apache v2 license. The platform handles numerical, categorical, date-time, text and geolocation data; it can synthesize relational tables while preserving their relationships. Other controls include Data Insights Reports, data rebalancing, missing-value imputation and generation temperature settings. Listed database connectors include MySQL, PostgreSQL, MariaDB, Oracle, Microsoft SQL Server, Snowflake, Databricks, BigQuery and Apache Hive; cloud bucket connectors include Azure, GCP and AWS. An API and Python client support integration into applications and workflows. Deployment options include Kubernetes, OpenShift and Minikube, as well as on-premises, private-cloud and air-gapped installations. The maker says the platform is SOC 2 and ISO 27001 certified. A single-node Kubernetes deployment requires at least 24 CPU cores, 48 GB RAM and 256 GB storage. The free plan is free, with no further limits stated. It is available via API, Linux, self-hosting and web.

Visit mostly.ai