| What it does | Compare npm downloads and GitHub stars in one unified platform
| Synthetic test data generator for PostgreSQL that reads your live schema and generates realistic data without production data
|
|---|
| Stage | Startup
| Startup
|
|---|
| Founded | 2024
| 2025
|
|---|
| Based in | Not given
| SK
|
|---|
| Pricing model | Free
| Freemium
|
|---|
| Pricing | Not given
| Free plan: $5 of monthly credits ($10 with work email), around 8 seeding runs per month on a 30-table schema. Basic plan: $16/month with $32 of monthly credits (2x payment), around 50 runs per month. Premium plan: $69/month with $180 of monthly credits (2.6x payment), around 300 runs per month, prio
|
|---|
| Key features | - Compare npm downloads and GitHub stars side-by-side
- Compare multiple packages simultaneously
- Synchronized graphs for trends visualization
- Generate shareable images and links
- Per-package metrics panel with essential data
- Autocomplete for package name search
- Real-time data updates
- Package metadata including forks and contributors
- Mobile-responsive design
| - Reads live database schema to generate coherent test data automatically
- Generates realistic data at scale from hundreds to tens of millions of rows
- Maintains foreign key integrity and constraint satisfaction
- Generates localized data with culturally appropriate names and formats
- Works as CLI, MCP server for AI editors, and CI/CD pipeline step
- Handles complex schemas with composite keys and multi-level dependencies
- Plan preview shows exactly what will be seeded before writing any rows
- Never requires access to production databases
- Generates data with realistic distributions across columns and tables
- Most runs complete in under three minutes
|
|---|
| What makes it different | - Unified platform combining npm and GitHub metrics in one place
- No login or account required
- Built with modern web technologies for fast performance
| - No production data exposure: generates all test data from schema alone, eliminating privacy and compliance risks
- Schema-aware generation creates coherent, relational data without manual seed scripts
- Integrated with AI editors through MCP server for seamless developer workflow
- Realistic data that surfaces real bugs, not random placeholder values
- Works at any scale with consistent data integrity from dozens to tens of millions of rows
|
|---|
| Free plan | Not given
| Not given
|
|---|
| Open source | Not given
| Not given
|
|---|
| Platforms | Not given
| Not given
|
|---|
| Public API | Not given
| Not given
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 17 ▲ +1 (up) since last check | 8 ▼ −19 (down) since last check |
|---|
| Trust Flow (Majestic) | 6 | 27 |
|---|
| Citation Flow (Majestic) | 18 | 32 |
|---|
| Referring domains (Majestic) | 31 | 62 |
|---|