Stop Writing Python Scripts: A GUI Wrapper for Faker.js
MockBlast wraps Faker.js in a beautiful GUI, so you can generate SQL seed data without writing a single line of Python code.
The Python Faker Script Problem
Python Faker is powerful, but writing scripts for every schema is tedious:
# Pseudo-code: Python Faker script
import faker library
connect to database
create cursor
for each row needed:
generate fake data (name, email, date)
execute INSERT statement
handle SQL formatting manually
commit transaction
close connections
Problems:
- Must write code for every schema
- Manual SQL formatting
- Complex foreign key logic
- No visual feedback❌ Need to write code for every schema
❌ Must handle SQL formatting manually
❌ Foreign keys require complex logic
❌ No visual feedback or preview
❌ Must install Python dependencies
MockBlast: Faker.js Without the Code
MockBlast wraps Faker.js in a beautiful GUI, so you can generate SQL seed data without writing scripts:
📋 Visual Schema Builder
Import your CREATE TABLE statements or build schemas visually. No code required—just point and click to configure data types.
🎨 Faker.js Data Types Built-In
All Faker.js data types are available: names, emails, addresses, phone numbers, dates, UUIDs, and more. Select from a dropdown—no need to remember function names.
🔗 Automatic Foreign Key Handling
MockBlast understands foreign key relationships and generates data that maintains referential integrity. No complex Python logic needed.
⚡ Instant SQL Generation
Generate millions of rows and get SQL INSERT statements instantly. No need to format SQL or handle database connections.
Comparison: Python Faker vs MockBlast
| Feature | Python Faker | MockBlast |
|---|---|---|
| Code Required | Yes (Python) | No (GUI) |
| Dependencies | pip install faker psycopg2 | None (Browser) |
| SQL Formatting | Manual | Automatic |
| Foreign Keys | Complex logic | Automatic |
| Preview | Run script | Live preview |
| Large Datasets | Slow | Fast (streaming) |
Related Resources
How to Generate PostgreSQL Seed Data
Step-by-step guide to generating realistic PostgreSQL seed data with JSONB, UUID, arrays, and foreign keys using MockBlast.
PostgreSQL Mock Data Generator
Generate production-ready PostgreSQL mock data with full support for JSONB, UUID, arrays, and Postgres-specific types.
Foreign Keys & Referential Integrity
Learn how MockBlast handles foreign key relationships automatically, maintaining referential integrity across complex schemas.
MongoDB Mock Data Generator
Generate production-ready MongoDB mock data with native ObjectId, ISODate wrappers, and MongoDB shell scripts.
Frequently Asked Questions
- Do I need to write Python code to use MockBlast?
- No! MockBlast is a GUI wrapper for Faker.js. You can import your SQL schemas, configure data types visually, and generate seed data without writing any code. It's perfect for developers who want to skip the Python scripting step.
- Does MockBlast use Faker.js under the hood?
- Yes! MockBlast uses Faker.js (the JavaScript version) to generate realistic data. We've wrapped it in a modern GUI so you don't need to write scripts or install Python dependencies.
- Can I generate the same data types as Python Faker?
- Yes, and more. MockBlast supports all standard Faker.js data types (names, emails, addresses, dates, etc.) plus SQL-specific features like foreign keys, unique constraints, and database-specific formats that Python Faker scripts don't handle well.
- What if I already have Python Faker scripts?
- You can still use MockBlast! Import your database schema (CREATE TABLE statements) and MockBlast will generate the same type of data. You'll get SQL INSERT statements ready to use, without maintaining Python scripts.
- Is MockBlast faster than Python Faker scripts?
- Yes! MockBlast uses server-side streaming to generate millions of rows in seconds. Python Faker scripts run locally and can be slow for large datasets. Plus, MockBlast handles SQL formatting automatically.