Faker.js
Faker.js: A flexible open-source choice for seeded, localized fake data in JavaScript projects. Ranked #21 of 28 in Test Data Generation Tools by our editors (6.6/10); pricing: Free plan; best for browser and Node.js fake data.
At a glance
- Editor score6.6 / 10
- PricingFree plan
- Best forBrowser and Node.js fake data
- Free planYes
- Paid fromNone
- Generation modesSynthetic
- Facts checked20 Sep 2026
Where it wins
- Runs in browsers and Node.js with CDN and Deno import options
- Seeded generation supports reproducible test results
- Locales, TypeScript, factory functions, and database-related generators
Where it doesn't
- Does not provide verified relational data generation
- Does not document database connectors or export formats
- A library rather than a hosted test-data service
Our verdict on Faker.js
Faker.js is an open-source JavaScript library for generating large amounts of synthetic data for unit testing, performance testing, demos, and development before a backend is complete. It suits developers working in browser or Node.js environments who need realistic values across people, locations, dates, finance, commerce, internet data, databases, and other domains. TypeScript support, locale selection, and locale-specific Faker instances make it applicable to projects that need typed code or region-aware values.
The published capabilities emphasize control over generation. Seeded generation supports reproducible results, while user-defined factory functions can create complex objects rather than isolated field values. Database-related generators cover column names, types, engines, collations, and MongoDB ObjectIds. Faker.js also offers CDN and Deno import options, extending how teams can bring the library into web and JavaScript workflows. These features make it a practical fit for application fixtures, repeatable test scenarios, and demonstrations that need varied but structured values.
Faker.js is free and open source, with a self-hosted library model rather than a hosted test-data service or paid tier structure. Its focus is value generation, not managed data pipelines: relational-data generation is not provided, and database connectors, export formats, record quotas, masking, and preservation of relational datasets are outside its documented scope. Choose Faker.js when a JavaScript project needs programmable synthetic values and reproducibility across browser or Node.js contexts. Teams that require verified relational generation or integrated database workflows should choose a tool designed around those capabilities.
Faker.js pricing
Faker.js fact sheet
| Free plan | Yes |
|---|---|
| Paid from | None |
| Generation modes | Synthetic |
| Relational data | No |
| API data generation | Yes |
| Supported data formats | Not verified |
| Deployment | Self-hosted |
| Generation limit | Not verified |
| Database connectors | Not verified |
| Deployment | Self-hosted |
| Platforms | Web |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | fakerjs.dev |
| Facts checked | 20 Sep 2026 |
Alternatives to Faker.js
- MOSTLY AIA broad synthetic-data platform for enterprise relational data teams.9.4
- SynthesizedA database-focused platform for schema-faithful synthetic data and protected test environments.9.2
- Tonic FabricateA flexible choice for AI-assisted relational test data with API and export workflows.9.0
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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