Snaplet Seed vs Faker
Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.
Entry price
Free and open source
Open sourceFree and open source
Open sourceWhat drives the bill
The metric that actually scales your invoice.
Free and MIT-licensed. Snaplet the company shut down in August 2024 and snaplet.dev no longer resolves; this is a community-held library, not a service.
Free and open source. You pay in engineering time and CI minutes.
Free tier
Everything, self-hosted
Everything, self-hosted
Open source
MIT
MIT
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Emerging
Supabase community (formerly Snaplet) · since 2021
Category standard
OSS community · since 2010
Strengths
- Schema-aware generation means the data actually inserts and the app actually works.
- Deterministic seeds make failing tests reproducible.
- Good TypeScript ergonomics with Prisma and Drizzle.
- Realistic, locale-aware data catches layout bugs that 'test test test' never will.
- Seedable, so generated data is reproducible when a test fails.
- Available in every major language with a similar API.
Limitations
- Effectively unmaintained: the last npm release (0.98.0) was July 2024 and the last commit to the default branch was August 2024, though the repo is not archived.
- PostgreSQL-centric.
- TypeScript ecosystem only.
- Generated data has no referential integrity or business rules — that is your job.
- Random data makes failures harder to reproduce unless you seed deliberately.
- Not a substitute for production-shaped data at realistic volume.
Best for
TypeScript teams that want each developer and CI run to start from a clean, coherent database.
Every project that needs fixtures more realistic than placeholder strings.
All of these integrate with: Prisma.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.