jrv-mock-data
Generate realistic test data instantly — no API key, no network. Supports dozens of data types, bulk generation, and multiple output formats including JSON, CSV, and SQL.
Quick Start
# Generate 10 fake users as JSON
python3 scripts/mock_data.py user --count 10
# Generate fake email addresses
python3 scripts/mock_data.py email --count 5
# Generate addresses
python3 scripts/mock_data.py address --count 3
# Generate a custom record with multiple fields
python3 scripts/mock_data.py record --fields "name,email,phone,company" --count 5
# Output as CSV
python3 scripts/mock_data.py user --count 20 --format csv
# Output as SQL INSERT
python3 scripts/mock_data.py user --count 10 --format sql --table users
# Single values (no count)
python3 scripts/mock_data.py uuid
python3 scripts/mock_data.py name
python3 scripts/mock_data.py lorem --words 50
# Save to file
python3 scripts/mock_data.py user --count 100 --format csv --output test_users.csv
Commands & Data Types
| Type | Description | Example Output |
|---|
| ------ | ------------- | ---------------- |
user | Full user record (name, email, phone, address) | {"name": "Jane Smith", "email": "jane@example.com", ...} |
name | Full name | "Marcus Rivera" |
email | Email address | "tmarcus@fakecorp.io" |
phone | US phone number | "(415) 555-0193" |
address | Street address | "1234 Oak Ave, Austin TX 78701" |
company | Company name | "Nexigen Solutions LLC" |
uuid | UUID v4 | "f47ac10b-58cc-..." |
date | Random date | "2024-07-15" |
datetime | Random datetime | "2024-07-15T14:23:00" |
lorem | Lorem ipsum text | "Lorem ipsum dolor sit amet..." |
number | Random integer | 42 |
float | Random float | 3.14159 |
bool | True/false | true |
color | Hex color | "#3a7bd5" |
url | Fake URL | "https://fakecorp.io/api/v1" |
ip | IPv4 address | "192.168.1.104" |
record | Custom fields combo | Use --fields name,email,phone |
Formats
| Format | Flag | Notes |
|---|
| -------- | ------ | ------- |
| JSON | --format json (default) | Pretty-printed array |
| CSV | --format csv | With header row |
| SQL | --format sql --table | INSERT statements |
| Lines | --format lines | One value per line |
Options
| Flag | Description |
|---|
| ------ | ------------- |
--count N | Number of records (default: 1) |
--format | Output format: json, csv, sql, lines |
--table | Table name for SQL output |
--fields
| Comma-separated fields for record type |
--seed N | Random seed for reproducible output |
--output | Write to file instead of stdout |
Use Cases
- API testing: Seed databases with realistic-looking test records
- UI prototyping: Fill mockups with plausible names and emails
- QA automation: Generate test fixtures in CSV or JSON
- SQL seeding: Ready-to-paste INSERT statements for dev databases
- Load testing: Generate thousands of unique records instantly