CheckOps
Mockaroo
Mockaroo is a commercial web service for generating realistic test data in CSV, JSON, SQL and Excel formats, with schemas, mock APIs, datasets and a Docker image for private deployment; up to 1,000 rows are free.
Latest public signals
Not refreshed yet. Refresh reads the public site and, when the entry has a GitHub repository, the latest release.
Introduction
Mockaroo lets you ‘generate up to 1,000 rows of realistic test data in CSV, JSON, SQL, and Excel formats’, according to its homepage. Users define a schema of fields, choose from many data types, set blank percentages and options, and download or call the data via API.
Beyond one-off downloads, Mockaroo offers saved schemas, datasets, mock APIs for back-end endpoints so UI work can start early, projects, scenarios, functions, database targets and de-identification. Fields can be generated with AI from a description. The homepage notes Mockaroo is also available as a Docker image to deploy in a private cloud.
Paid plans start at $60 per year for more rows.
In the quality loop it supports test data creation for integration, UI and demo environments.
Features
- Schema designer: Many field types.
- Multiple formats: CSV, JSON, SQL, Excel.
- Mock APIs: Serve fake endpoints.
- AI field generation: Describe fields in words.
- Docker deployment: Run privately.
Pros
- No code needed: Browser-based.
Cons
- Row limits: Free tier capped at 1,000 rows.
- Hosted by default: Use Docker for private data.
Usage and Links (Example)
- Design a schema at mockaroo.com.
- Generate CSV or SQL and load it into a test database.
- Save the schema and call it from CI via the API.
Resources:
Pricing
Free up to 1,000 rows; paid plans about $60, $500 and $7,500 per year. See site.
Recommended for?
- Testers and developers needing quick datasets.
- Not a fit for masking production data at scale.
Conclusion
Mockaroo is a convenient browser-based test data generator.
On CheckOps, Mockaroo is filed under the Unit testing and Integration testing stages. Related tools listed here include Faker (JavaScript), Faker (Python), GenRocket, Tonic Structural, Datafaker and Mockoon. Before choosing, compare them on licence, supported languages and platforms, hosting model, and how well each fits your existing CI pipeline. Facts on this page were checked against the official website, documentation and repository on 11 November 2026; statements the vendor makes about its own product are marked as vendor claims.
Alternatives
Other tools on CheckOps that cover similar ground. Open a page, or compare one with Mockaroo side by side.
FFaker (JavaScript)Faker is an MIT-licensed JavaScript and TypeScript library that generates large amounts of fake but realistic data, such as people, addresses, dates, finance and commerce values, in over 70 locales, in Node.js and browsers.Compare with Mockaroo
FFaker (Python)Faker is an MIT-licensed Python package that generates fake but realistic data such as names, addresses, text, dates and identifiers, with dozens of locales, a pytest fixture and seeding for reproducible test data.Compare with Mockaroo
GGenRocketGenRocket is a commercial enterprise synthetic test data platform built on 'design-driven' data, generating data from rules and scenarios without copying production, with self-service, CI/CD integration and masking options.Compare with Mockaroo
TTonic StructuralTonic Structural is a commercial test data management product from Tonic.ai that de-identifies, subsets and synthesizes structured and semi-structured data from production into safe, production-like test data.Compare with Mockaroo
DDatafakerDatafaker is an Apache-2.0 fake data library for the JVM (Java, Kotlin, Groovy), a modern fork of Java Faker with updated dependencies, many more providers and schema-based generation to CSV, JSON, SQL and more.Compare with Mockaroo
MMockoonMockoon is the easiest and quickest way to run mock APIs locally.Compare with Mockaroo